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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. 9057
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    INDEX
    Explanations

    mentions of sports teams named "Cougars" or variations of the word "couched"

    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
    167
    +0.20
    0.7%
    484
    +0.16
    0.5%
    749
    +0.14
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.20
    0.16
    326
    +0.16
    0.14
    657
    +0.14
    0.11
    Negative Logits
    nesota
    -1.15
    Downloadha
    -1.08
    ipple
    -1.00
    aceutical
    -0.99
    velength
    -0.93
    uyomi
    -0.92
     guiActiveUnfocused
    -0.91
    iewicz
    -0.89
    itsch
    -0.88
    schild
    -0.86
    POSITIVE LOGITS
    riers
    1.46
    gars
    1.22
    rier
    1.14
    rer
    1.14
    plet
    1.11
     Cou
    1.06
    rera
    1.05
    drivers
    1.04
    riage
    1.03
    que
    1.01
    Activations Density 2.995%

    No Known Activations