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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. 2591
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    Explanations

    descriptions of sports games or events

    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
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    526
    +0.16
    0.5%
    384
    +0.14
    0.5%
    310
    +0.13
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    603
    +0.16
    0.05
    305
    +0.14
    0.05
    526
    +0.13
    0.01
    Negative Logits
    wcs
    -1.16
    overe
    -1.07
    lus
    -1.07
    acci
    -1.06
    iscal
    -1.04
    pmwiki
    -1.03
    LOG
    -1.01
    acea
    -1.00
    erred
    -0.99
    zel
    -0.99
    POSITIVE LOGITS
     Giants
    1.11
     Suzuki
    1.09
     opponents
    0.97
     Jacksonville
    0.97
     San
    0.97
     Hiroshima
    0.96
    ARS
    0.96
     Face
    0.96
     Ake
    0.96
     Kansas
    0.95
    Activations Density 0.700%

    No Known Activations