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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. 9-RES-JB
    11. 14308
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    INDEX
    Explanations

    proper nouns related to American football players and positions

    oai_token-act-pair · gpt-3.5-turbo

    references to football positions, specifically receivers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iewicz
    -0.88
    ename
    -0.78
    udic
    -0.77
    Beat
    -0.72
    uca
    -0.71
    monary
    -0.67
    isode
    -0.67
    hemat
    -0.65
    hem
    -0.65
    glers
    -0.64
    POSITIVE LOGITS
    ivity
    0.86
     Receiver
    0.75
    MJ
    0.73
    ceiver
    0.69
    forward
    0.69
    ivable
    0.69
    ight
    0.67
    oute
    0.67
    nect
    0.67
    iving
    0.67
    Activations Density 0.063%

    No Known Activations