文本到多类解释：语言建模示例
本笔记本演示了如何为语言模型生成的top-k个下一个词提供解释。在这个演示中，我们使用hugging face提供的预训练gpt2模型（https://huggingface.co/gpt2）来预测top-k个下一个词。通过查看top-k个下一个词，我们将它们视为k个独立的类别，然后学习这些词的解释。因此，我们能够解释输入中对top-k个下一个词的预测概率负责的词的贡献。
[1]:
from transformers import AutoModelForCausalLM, AutoTokenizer
import shap
加载模型和分词器
[2]:
tokenizer = AutoTokenizer.from_pretrained("gpt2", use_fast=True)
model = AutoModelForCausalLM.from_pretrained("gpt2").cuda()
接下来，我们将模型包装在TopKLM模型中，该模型提取前k个下一个词的对数几率，并创建一个文本掩码器，通过初始化mask_token = “…” 并设置collapse_mask_token = True，用于在输入扰动期间填充文本。
[3]:
wrapped_model = shap.models.TopKLM(model, tokenizer, k=100)
masker = shap.maskers.Text(tokenizer, mask_token="...", collapse_mask_token=True)
定义数据
在这里，我们设置初始文本，以便我们希望gpt2模型预测下一个单词
[4]:
s = ["In a shocking finding, scientists discovered a herd of unicorns living in a"]
创建解释器对象
[5]:
explainer = shap.Explainer(wrapped_model, masker)
计算 SHAP 值
[6]:
shap_values = explainer(s)
在输入句子的基础上，可视化前k个下一个词的SHAP值
我们现在可以在下面的图表中的“输出文本”下看到gpt2预测的前k个下一个单词，并将鼠标悬停在每个标记上，以理解输入句子中的哪些单词驱动了特定输出单词的生成。
[7]:
shap.plots.text(shap_values)
[0]
outputs
cave
forest
small
desert
tiny
"
remote
zoo
tree
field
house
nest
tropical
lake
large
mountain
farm
group
wild
very
single
barn
jungle
new
valley
world
garden
herd
grass
natural
park
swamp
laboratory
nearby
well
rural
pond
dark
wood
subter
room
lab
cage
huge
New
water
colony
massive
common
state
deep
home
man
mine
human
rock
region
box
river
part
hollow
c
hole
vast
village
different
virtual
city
strange
greenhouse
frozen
shallow
semi
flat
patch
mysterious
local
giant
sub
barren
special
mountainous
mud
cemetery
pod
hive
newly
closed
community
California
place
flooded
prehistoric
sw
high
z
hot
far
1
pasture
inputs
0.115
In
0.138
a
-0.2
shocking
-0.236
finding
-0.304
,
-0.153
scientists
-0.304
discovered
-0.176
a
0.165
herd
0.474
of
0.463
unic
0.741
orns
1.266
living
2.87
in
4.799
a
inputs
0.115
In
0.138
a
-0.2
shocking
-0.236
finding
-0.304
,
-0.153
scientists
-0.304
discovered
-0.176
a
0.165
herd
0.474
of
0.463
unic
0.741
orns
1.266
living
2.87
in
4.799
a
inputs
0.151
In
0.259
a
-0.35
shocking
-0.123
finding
-0.15
,
-0.46
scientists
-0.524
discovered
-0.313
a
1.029
herd
0.253
of
-0.133
unic
1.544
orns
0.886
living
2.287
in
4.695
a
inputs
0.151
In
0.259
a
-0.35
shocking
-0.123
finding
-0.15
,
-0.46
scientists
-0.524
discovered
-0.313
a
1.029
herd
0.253
of
-0.133
unic
1.544
orns
0.886
living
2.287
in
4.695
a
inputs
-0.102
In
0.325
a
-0.155
shocking
0.041
finding
-0.223
,
-0.477
scientists
-0.892
discovered
-0.238
a
0.314
herd
0.423
of
-0.047
unic
0.754
orns
0.348
living
0.839
in
4.833
a
inputs
-0.102
In
0.325
a
-0.155
shocking
0.041
finding
-0.223
,
-0.477
scientists
-0.892
discovered
-0.238
a
0.314
herd
0.423
of
-0.047
unic
0.754
orns
0.348
living
0.839
in
4.833
a
inputs
-0.163
In
0.123
a
-0.225
shocking
0.025
finding
-0.138
,
0.146
scientists
-0.782
discovered
-0.448
a
1.731
herd
0.409
of
-0.366
unic
0.707
orns
1.435
living
2.371
in
3.686
a
inputs
-0.163
In
0.123
a
-0.225
shocking
0.025
finding
-0.138
,
0.146
scientists
-0.782
discovered
-0.448
a
1.731
herd
0.409
of
-0.366
unic
0.707
orns
1.435
living
2.371
in
3.686
a
inputs
-0.133
In
0.206
a
0.304
shocking
-0.188
finding
-0.102
,
0.077
scientists
-0.656
discovered
-0.284
a
-0.044
herd
0.419
of
0.488
unic
0.804
orns
0.55
living
0.538
in
4.833
a
inputs
-0.133
In
0.206
a
0.304
shocking
-0.188
finding
-0.102
,
0.077
scientists
-0.656
discovered
-0.284
a
-0.044
herd
0.419
of
0.488
unic
0.804
orns
0.55
living
0.538
in
4.833
a
inputs
-0.205
In
-0.129
a
0.441
shocking
-0.05
finding
0.071
,
0.145
scientists
-0.006
discovered
-0.34
a
-0.294
herd
0.044
of
0.093
unic
0.109
orns
0.268
living
0.365
in
0.318
a
inputs
-0.205
In
-0.129
a
0.441
shocking
-0.05
finding
0.071
,
0.145
scientists
-0.006
discovered
-0.34
a
-0.294
herd
0.044
of
0.093
unic
0.109
orns
0.268
living
0.365
in
0.318
a
inputs
0.118
In
0.063
a
-0.191
shocking
-0.064
finding
-0.222
,
-0.084
scientists
-0.145
discovered
0.052
a
0.13
herd
0.381
of
0.064
unic
0.121
orns
0.82
living
2.316
in
3.946
a
inputs
0.118
In
0.063
a
-0.191
shocking
-0.064
finding
-0.222
,
-0.084
scientists
-0.145
discovered
0.052
a
0.13
herd
0.381
of
0.064
unic
0.121
orns
0.82
living
2.316
in
3.946
a
inputs
0.294
In
0.291
a
0.633
shocking
-0.043
finding
-0.083
,
0.201
scientists
-0.954
discovered
-0.515
a
1.424
herd
-0.254
of
0.966
unic
0.919
orns
0.53
living
1.574
in
3.727
a
inputs
0.294
In
0.291
a
0.633
shocking
-0.043
finding
-0.083
,
0.201
scientists
-0.954
discovered
-0.515
a
1.424
herd
-0.254
of
0.966
unic
0.919
orns
0.53
living
1.574
in
3.727
a
inputs
0.154
In
0.056
a
-0.554
shocking
-0.171
finding
-0.314
,
-0.445
scientists
0.006
discovered
0.059
a
-0.007
herd
0.009
of
0.336
unic
1.552
orns
0.981
living
0.828
in
3.94
a
inputs
0.154
In
0.056
a
-0.554
shocking
-0.171
finding
-0.314
,
-0.445
scientists
0.006
discovered
0.059
a
-0.007
herd
0.009
of
0.336
unic
1.552
orns
0.981
living
0.828
in
3.94
a
inputs
0.336
In
0.28
a
-0.65
shocking
-0.065
finding
-0.231
,
-0.253
scientists
-0.671
discovered
-0.164
a
0.844
herd
0.067
of
-0.13
unic
0.557
orns
-0.523
living
2.285
in
3.882
a
inputs
0.336
In
0.28
a
-0.65
shocking
-0.065
finding
-0.231
,
-0.253
scientists
-0.671
discovered
-0.164
a
0.844
herd
0.067
of
-0.13
unic
0.557
orns
-0.523
living
2.285
in
3.882
a
inputs
0.024
In
0.001
a
-0.256
shocking
-0.218
finding
-0.373
,
-0.848
scientists
-0.19
discovered
-0.291
a
0.028
herd
0.421
of
-0.031
unic
-0.128
orns
1.247
living
1.672
in
4.209
a
inputs
0.024
In
0.001
a
-0.256
shocking
-0.218
finding
-0.373
,
-0.848
scientists
-0.19
discovered
-0.291
a
0.028
herd
0.421
of
-0.031
unic
-0.128
orns
1.247
living
1.672
in
4.209
a
inputs
-0.242
In
-0.121
a
-0.218
shocking
0.364
finding
-0.114
,
-0.362
scientists
0.29
discovered
-0.252
a
1.189
herd
-0.46
of
0.427
unic
1.723
orns
1.225
living
0.764
in
3.659
a
inputs
-0.242
In
-0.121
a
-0.218
shocking
0.364
finding
-0.114
,
-0.362
scientists
0.29
discovered
-0.252
a
1.189
herd
-0.46
of
0.427
unic
1.723
orns
1.225
living
0.764
in
3.659
a
inputs
-0.067
In
0.287
a
0.218
shocking
-0.269
finding
-0.294
,
0.348
scientists
-0.58
discovered
-0.186
a
-0.146
herd
0.578
of
-0.073
unic
1.012
orns
1.149
living
1.692
in
4.163
a
inputs
-0.067
In
0.287
a
0.218
shocking
-0.269
finding
-0.294
,
0.348
scientists
-0.58
discovered
-0.186
a
-0.146
herd
0.578
of
-0.073
unic
1.012
orns
1.149
living
1.692
in
4.163
a
inputs
-0.084
In
-0.095
a
-0.138
shocking
0.206
finding
-0.417
,
-0.204
scientists
0.118
discovered
-0.125
a
0.757
herd
0.461
of
-0.356
unic
0.701
orns
0.396
living
2.37
in
3.93
a
inputs
-0.084
In
-0.095
a
-0.138
shocking
0.206
finding
-0.417
,
-0.204
scientists
0.118
discovered
-0.125
a
0.757
herd
0.461
of
-0.356
unic
0.701
orns
0.396
living
2.37
in
3.93
a
inputs
-0.056
In
0.388
a
-0.059
shocking
0.24
finding
-0.182
,
-0.47
scientists
-0.405
discovered
-0.2
a
0.098
herd
0.242
of
-0.223
unic
0.778
orns
-0.097
living
0.559
in
4.003
a
inputs
-0.056
In
0.388
a
-0.059
shocking
0.24
finding
-0.182
,
-0.47
scientists
-0.405
discovered
-0.2
a
0.098
herd
0.242
of
-0.223
unic
0.778
orns
-0.097
living
0.559
in
4.003
a
inputs
-0.022
In
0.111
a
-0.255
shocking
-0.108
finding
-0.464
,
-0.344
scientists
-0.803
discovered
-0.28
a
1.221
herd
0.201
of
0.448
unic
1.415
orns
0.65
living
1.158
in
3.757
a
inputs
-0.022
In
0.111
a
-0.255
shocking
-0.108
finding
-0.464
,
-0.344
scientists
-0.803
discovered
-0.28
a
1.221
herd
0.201
of
0.448
unic
1.415
orns
0.65
living
1.158
in
3.757
a
inputs
-0.005
In
0.157
a
0.035
shocking
-0.017
finding
-0.243
,
-0.865
scientists
-0.698
discovered
-0.462
a
2.052
herd
0.381
of
0.104
unic
0.576
orns
0.952
living
1.285
in
3.138
a
inputs
-0.005
In
0.157
a
0.035
shocking
-0.017
finding
-0.243
,
-0.865
scientists
-0.698
discovered
-0.462
a
2.052
herd
0.381
of
0.104
unic
0.576
orns
0.952
living
1.285
in
3.138
a
inputs
0.516
In
0.134
a
-0.327
shocking
-0.223
finding
-0.433
,
-0.034
scientists
-0.301
discovered
-0.441
a
0.606
herd
-0.387
of
0.101
unic
0.246
orns
-0.44
living
-0.197
in
5.416
a
inputs
0.516
In
0.134
a
-0.327
shocking
-0.223
finding
-0.433
,
-0.034
scientists
-0.301
discovered
-0.441
a
0.606
herd
-0.387
of
0.101
unic
0.246
orns
-0.44
living
-0.197
in
5.416
a
inputs
-0.07
In
0.001
a
0.367
shocking
-0.313
finding
-0.255
,
-0.152
scientists
-0.996
discovered
-0.671
a
1.916
herd
0.186
of
0.624
unic
1.316
orns
0.782
living
-0.088
in
3.075
a
inputs
-0.07
In
0.001
a
0.367
shocking
-0.313
finding
-0.255
,
-0.152
scientists
-0.996
discovered
-0.671
a
1.916
herd
0.186
of
0.624
unic
1.316
orns
0.782
living
-0.088
in
3.075
a
inputs
-0.412
In
0.246
a
0.477
shocking
-0.236
finding
-0.139
,
0.102
scientists
-0.569
discovered
-0.069
a
-0.585
herd
0.042
of
0.036
unic
0.324
orns
0.069
living
0.15
in
3.158
a
inputs
-0.412
In
0.246
a
0.477
shocking
-0.236
finding
-0.139
,
0.102
scientists
-0.569
discovered
-0.069
a
-0.585
herd
0.042
of
0.036
unic
0.324
orns
0.069
living
0.15
in
3.158
a
inputs
0.177
In
0.251
a
0.286
shocking
-0.295
finding
-0.187
,
-0.109
scientists
-0.764
discovered
-0.504
a
-0.1
herd
0.231
of
0.183
unic
0.187
orns
0.369
living
0.012
in
4.501
a
inputs
0.177
In
0.251
a
0.286
shocking
-0.295
finding
-0.187
,
-0.109
scientists
-0.764
discovered
-0.504
a
-0.1
herd
0.231
of
0.183
unic
0.187
orns
0.369
living
0.012
in
4.501
a
inputs
-0.245
In
0.101
a
-0.053
shocking
-0.269
finding
-0.32
,
-0.624
scientists
-0.759
discovered
-0.378
a
1.796
herd
0.278
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0.388
unic
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orns
0.514
living
2.346
in
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a
inputs
-0.245
In
0.101
a
-0.053
shocking
-0.269
finding
-0.32
,
-0.624
scientists
-0.759
discovered
-0.378
a
1.796
herd
0.278
of
0.388
unic
0.845
orns
0.514
living
2.346
in
3.837
a
inputs
-0.379
In
0.057
a
-0.37
shocking
-0.214
finding
-0.255
,
-0.309
scientists
-0.513
discovered
-0.391
a
1.042
herd
0.163
of
0.181
unic
1.013
orns
1.897
living
1.65
in
3.685
a
inputs
-0.379
In
0.057
a
-0.37
shocking
-0.214
finding
-0.255
,
-0.309
scientists
-0.513
discovered
-0.391
a
1.042
herd
0.163
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0.181
unic
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orns
1.897
living
1.65
in
3.685
a
inputs
0.143
In
-0.028
a
0.153
shocking
-0.072
finding
-0.386
,
0.171
scientists
-0.15
discovered
-0.262
a
-0.254
herd
0.112
of
0.248
unic
-0.097
orns
-0.537
living
0.021
in
3.2
a
inputs
0.143
In
-0.028
a
0.153
shocking
-0.072
finding
-0.386
,
0.171
scientists
-0.15
discovered
-0.262
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-0.254
herd
0.112
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0.248
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-0.097
orns
-0.537
living
0.021
in
3.2
a
inputs
0.042
In
-0.071
a
-0.504
shocking
-0.29
finding
-0.584
,
-0.449
scientists
-1.14
discovered
-0.855
a
1.3
herd
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of
0.143
unic
1.346
orns
0.318
living
2.582
in
5.761
a
inputs
0.042
In
-0.071
a
-0.504
shocking
-0.29
finding
-0.584
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-0.449
scientists
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discovered
-0.855
a
1.3
herd
-0.032
of
0.143
unic
1.346
orns
0.318
living
2.582
in
5.761
a
inputs
0.054
In
0.053
a
0.284
shocking
-0.945
finding
-0.374
,
0.333
scientists
-0.913
discovered
-0.681
a
-0.456
herd
0.07
of
0.058
unic
-0.656
orns
0.831
living
1.334
in
4.208
a
inputs
0.054
In
0.053
a
0.284
shocking
-0.945
finding
-0.374
,
0.333
scientists
-0.913
discovered
-0.681
a
-0.456
herd
0.07
of
0.058
unic
-0.656
orns
0.831
living
1.334
in
4.208
a
inputs
0.05
In
0.115
a
-0.448
shocking
-0.022
finding
-0.318
,
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