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Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
GPT2-Small
Residual Similar CE Local
6-RES_SCL-AJT
39923
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MODEL
6-res_scl-ajt
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Explanations
information related to medical treatments, trials, and physical effects on the body
oai_token-act-pair · gpt-3.5-turbo
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Configuration
neuronpedia/gpt2-small__res_scl-ajt/6-res_scl-ajt
How To Load
Prompts (Dashboard)
12,288 prompts, 128 tokens each
Dataset (Dashboard)
Skylion007/openwebtext
Features
46,080
Data Type
torch.float32
Hook Point
blocks.6.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
apollo-research/Skylion007-openwebtext-tokenizer-gpt2
Hook Point Layer
6
Activation Function
relu
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Link
https://www.neuronpedia.org/gpt2-small/6-res_scl-ajt/39923?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
447
+0.20
0.8%
395
+0.13
0.5%
68
+0.11
0.4%
Correlated Neurons
Index
P. Corr.
Cos Sim.
652
+0.20
0.07
289
+0.13
-0.04
461
+0.11
0.07
Negative Logits
comed
-0.95
mp
-0.92
asper
-0.78
hel
-0.78
cro
-0.77
fol
-0.76
rop
-0.76
accompan
-0.76
hak
-0.75
ask
-0.75
POSITIVE LOGITS
2
1.14
XVI
1.13
XII
1.13
1
1.01
XIV
0.99
3
0.98
VII
0.97
II
0.97
XI
0.96
2
0.95
Act
ivations
Density 14.451%
Test
Steer
Stacked
Snippet
Full
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No Known Activations