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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 14490
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    Explanations

    commands or instructions related to programming or software development

    oai_token-act-pair · gpt-3.5-turbo

    commands or functions related to programming or database operations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    laus
    -0.84
    guyen
    -0.81
    atti
    -0.79
    arag
    -0.77
    oths
    -0.75
    ournal
    -0.73
    antz
    -0.73
    acea
    -0.72
    arine
    -0.72
    allery
    -0.70
    POSITIVE LOGITS
    able
    1.06
    ABLE
    0.93
    ables
    0.90
    ãĥ¼ãĤ¯
    0.89
    Transaction
    0.79
    ability
    0.79
     button
    0.78
    ername
    0.78
    ments
    0.75
    ()
    0.75
    Activations Density 0.146%

    No Known Activations