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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. 3-RES-JB
    11. 11360
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    Explanations

    statistics related to sports, specifically information about assists and rebounds

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to assists and rebounds in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     appropri
    -0.71
    yg
    -0.69
    enegger
    -0.67
    thur
    -0.63
    scape
    -0.62
    Polit
    -0.62
    polit
    -0.62
    alg
    -0.61
    scope
    -0.59
    tails
    -0.58
    POSITIVE LOGITS
     assists
    0.87
    assisted
    0.86
     scorer
    0.85
     rebounds
    0.74
     apiece
    0.73
    ynthesis
    0.72
     teammate
    0.72
     infield
    0.72
     batted
    0.72
     defenseman
    0.71
    Activations Density 0.025%

    No Known Activations