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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
33167
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6-res_scl-ajt
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Explanations
patterns related to computer programming or mathematical expressions
oai_token-act-pair · gpt-3.5-turbo
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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/33167?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
+0.16
0.7%
48
+0.12
0.5%
233
+0.10
0.4%
Correlated Neurons
Index
P. Corr.
Cos Sim.
193
+0.16
0.11
233
+0.12
0.06
570
+0.10
-0.01
Negative Logits
angel
-0.89
asus
-0.82
aminer
-0.82
ĻĤ
-0.80
idel
-0.79
elaide
-0.79
sung
-0.79
ember
-0.78
azel
-0.78
aily
-0.78
POSITIVE LOGITS
M
1.13
Q
1.10
C
1.09
N
1.04
LX
1.04
XT
1.04
R
1.03
X
1.03
iP
1.02
S
1.01
Act
ivations
Density 11.808%
Test
Steer
Stacked
Snippet
Full
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No Known Activations