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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. 8401
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    Explanations

    sports teams and player names

    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
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    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    288
    +0.16
    0.6%
    287
    +0.16
    0.6%
    241
    +0.15
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    241
    +0.16
    0.06
    537
    +0.16
    0.07
    146
    +0.15
    0.06
    Negative Logits
    resent
    -1.06
    angible
    -1.02
    rency
    -0.98
    judicial
    -0.94
    icity
    -0.92
    agement
    -0.92
    nces
    -0.90
    tein
    -0.89
    otally
    -0.89
    ounced
    -0.88
    POSITIVE LOGITS
     Tickets
    1.01
     Races
    0.98
     Seventh
    0.97
     Orchestra
    0.96
     Wings
    0.96
     FC
    0.95
     Fans
    0.95
     Racing
    0.94
     Chiefs
    0.93
     Anth
    0.92
    Activations Density 0.508%

    No Known Activations