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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. 20395
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    Explanations

    language related to behavior and actions

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to behavior and actions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    andel
    -0.72
    pelling
    -0.69
    fram
    -0.69
    noon
    -0.68
     landing
    -0.68
    export
    -0.62
     Colleg
    -0.62
     Colleges
    -0.62
     Solo
    -0.61
    lake
    -0.60
    POSITIVE LOGITS
    uate
    1.02
     differently
    0.90
     accordingly
    0.89
     err
    0.86
    uated
    0.86
     behave
    0.85
     behaves
    0.84
    iments
    0.84
    uations
    0.82
     badly
    0.82
    Activations Density 0.043%

    No Known Activations