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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. 8965
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    Explanations

    information related to databases and tables, specifically focusing on columns, types, and IDs

    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
    481
    +0.11
    0.5%
    718
    +0.10
    0.4%
    522
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    326
    +0.11
    0.03
    93
    +0.10
    0.03
    699
    +0.10
    0.02
    Negative Logits
    Alias
    -0.74
    Monitor
    -0.73
    rings
    -0.72
    env
    -0.72
    CTV
    -0.72
    asus
    -0.71
    Lens
    -0.68
    arers
    -0.67
    annis
    -0.67
    soDeliveryDate
    -0.66
    POSITIVE LOGITS
    ategory
    0.77
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    0.74
    etheless
    0.74
     prevail
    0.71
    theless
    0.68
    -+
    0.68
    Ñĭ
    0.66
     tradem
    0.66
    uctor
    0.65
    umeric
    0.64
    Activations Density 0.183%

    No Known Activations