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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. 4-RES-JB
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    Explanations

    the word "debate" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "debate."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amina
    -0.70
    hetical
    -0.68
    uras
    -0.65
    gm
    -0.65
    ogly
    -0.64
    printed
    -0.64
    imus
    -0.64
    alty
    -0.63
    ergic
    -0.63
     liner
    -0.62
    POSITIVE LOGITS
    naire
    0.82
     debate
    0.80
     moderators
    0.75
    dayName
    0.74
     raged
    0.71
    Panel
    0.71
     raging
    0.71
     debates
    0.70
    halla
    0.69
     discussion
    0.68
    Activations Density 0.025%

    No Known Activations