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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
5-RES-JB
2628
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5-res-jb
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Explanations
references to numbered references within text
oai_token-act-pair · gpt-3.5-turbo
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numerical data and statistics
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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New Auto-Interp
AutoInterp Type
claude-3-5-sonnet-20240620
Generate
Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 5-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
5
Activation Function
relu
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/5-res-jb/2628?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/5-res-jb/2628?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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hog
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cies
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cius
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pen
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*/(
-0.69
NetMessage
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lane
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aturday
-0.64
cul
-0.63
este
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POSITIVE LOGITS
]
1.07
].
0.94
]).
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]"
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][
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]
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]:
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])
0.82
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0.81
Act
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Density 0.042%
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