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    3. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    5. GPT2-Small
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    oai_token-act-pair · gpt-3.5-turbo
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    neuronpedia/gpt2-small__res_scefr-ajt/6-res_scefr-ajt
    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
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    Neuron Alignment
    Index
    Value
    % of L₁
    126
    +0.04
    0.5%
    712
    +0.03
    0.4%
    136
    +0.03
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    373
    +0.04
    -0.00
    577
    +0.03
    0.01
    639
    +0.03
    0.01
    Negative Logits
     "$:/
    -0.26
    thumbnails
    -0.22
    ById
    -0.21
     Britann
    -0.21
    borgh
    -0.21
    ÅŁ
    -0.20
    atically
    -0.20
    advertising
    -0.20
    Redditor
    -0.20
    ################
    -0.20
    POSITIVE LOGITS
    ENCE
    0.27
    ensing
    0.26
    pport
    0.25
    ¬¼
    0.24
     undermin
    0.24
     citiz
    0.23
     councill
    0.23
    incerity
    0.23
     unden
    0.22
     Voter
    0.22
    Activations Density 0.010%

    No Known Activations