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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. 2180
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    Explanations

    large quantities or numbers (e.g., thousands, millions) of different items or entities

    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
    29
    +0.02
    0.5%
    64
    +0.02
    0.5%
    180
    +0.02
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    71
    +0.02
    0.01
    234
    +0.02
    0.02
    262
    +0.02
    0.01
    Negative Logits
     Correction
    -0.11
     curfew
    -0.10
    Ur
    -0.10
     Cance
    -0.10
     Tid
    -0.10
    wat
    -0.10
     Chaser
    -0.10
     Correspond
    -0.10
    Reviewer
    -0.10
     Curve
    -0.09
    POSITIVE LOGITS
    picture
    0.13
    ãĤ¶
    0.12
    \/\/
    0.11
    970
    0.11
    mill
    0.10
    far
    0.10
    ahon
    0.10
    \\\\
    0.10
    fred
    0.10
    ãĥ¼ãĤ¯
    0.10
    Activations Density 0.063%

    No Known Activations