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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
0-RES-JB
16056
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0-res-jb
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Explanations
The neuron identifies capital letters followed by symbols representing mathematical actions
oai_token-act-pair · gpt-3.5-turbo
No Scores
specific symbols or characters that are not easily categorized
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 0-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
0
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/0-res-jb/16056?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/0-res-jb/16056?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
front
-0.66
whit
-0.63
Pupp
-0.61
ish
-0.60
bug
-0.60
camouflage
-0.60
sm
-0.59
Virgin
-0.58
face
-0.58
doom
-0.57
POSITIVE LOGITS
Ģ
4.42
ģ
2.07
ĥ
1.99
Ħ
1.99
Ī
1.86
Ĥ
1.85
ī
1.76
ķ
1.75
į
1.75
Į
1.72
Act
ivations
Density 0.011%
Test
Steer
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No Known Activations