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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    mentions of football teams, specifically the Cincinnati Bengals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Cincinnati Bengals

    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
    ocaust
    -0.76
    judicial
    -0.76
    istically
    -0.73
    piece
    -0.73
    istic
    -0.73
    uckland
    -0.70
    ted
    -0.69
    lasses
    -0.69
    tle
    -0.68
    nces
    -0.67
    POSITIVE LOGITS
     Raiders
    0.89
     linebackers
    0.87
     Bengals
    0.87
     linebacker
    0.87
     Titans
    0.83
    士
    0.78
     cornerback
    0.76
     Colts
    0.75
     Steelers
    0.74
     Athletics
    0.73
    Activations Density 0.027%

    No Known Activations