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    3. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    5. GPT2-Small
    7. Residual Similar CE E2E Recon
    9. 6-RES_SCEFR-AJT
    11. 9141
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    Explanations

    references to football-related content, including matches, clubs, and players

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    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
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Neuron Alignment
    Index
    Value
    % of L₁
    288
    +0.29
    0.9%
    527
    +0.17
    0.6%
    453
    +0.17
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.29
    0.07
    11
    +0.17
    0.05
    527
    +0.17
    0.04
    Negative Logits
    utter
    -1.21
    aft
    -1.06
     Ples
    -1.05
    UTC
    -1.00
    imate
    -0.99
    DonaldTrump
    -0.96
    rans
    -0.96
    olen
    -0.96
    chev
    -0.95
    ividual
    -0.92
    POSITIVE LOGITS
    matically
    1.19
    matical
    1.13
    sburg
    1.12
     stadiums
    1.11
    meric
    1.10
     fraternity
    1.06
     clubs
    1.03
     academy
    1.02
    ers
    1.01
     club
    1.01
    Activations Density 1.029%

    No Known Activations