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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
11-RES-JB
17889
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MODEL
11-res-jb
Source/SAE
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Explanations
financial figures and statistics
oai_token-act-pair · gpt-3.5-turbo
No Scores
numerical values, especially those related to statistics and measurements
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
Generate
Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 11-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
Skylion007/openwebtext
Features
24,576
Data Type
torch.float32
Hook Point
blocks.11.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
11
Activation Function
relu
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Default Test Text
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<iframe src=https://www.neuronpedia.org/gpt2-small/11-res-jb/17889?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/11-res-jb/17889?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
lins
-0.67
limits
-0.65
dict
-0.59
iman
-0.56
reen
-0.56
yours
-0.53
ifice
-0.53
perjury
-0.53
trap
-0.52
dipping
-0.52
POSITIVE LOGITS
4
1.67
2
1.66
3
1.66
7
1.65
1
1.56
5
1.53
6
1.50
8
1.41
9
1.40
0
1.22
Act
ivations
Density 0.149%
Test
Steer
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