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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. 8-RES-JB
    11. 9950
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    Explanations

    names of individuals or characters

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, likely focusing on names of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    destroy
    -0.61
     conflic
    -0.61
    atible
    -0.58
    pires
    -0.57
    itialized
    -0.54
    Completed
    -0.54
    ãĤ±
    -0.53
    ilater
    -0.53
    ittees
    -0.53
    abases
    -0.53
    POSITIVE LOGITS
    .
    0.93
     sarcast
    0.83
    .<
    0.74
    .</
    0.73
    _.
    0.72
    enegger
    0.72
     rhet
    0.71
    !.
    0.70
    ;
    0.70
    .[
    0.69
    Activations Density 0.167%

    No Known Activations