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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. 10-RES-JB
    11. 16447
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    Explanations

    sports teams by name

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tml
    -0.73
     Bei
    -0.71
    Els
    -0.71
    utic
    -0.69
    judicial
    -0.67
     Cosponsors
    -0.66
    ushes
    -0.65
    reddits
    -0.63
    styles
    -0.63
    inges
    -0.62
    POSITIVE LOGITS
    '
    1.06
     aren
    0.95
     have
    0.94
     are
    0.94
     bullpen
    0.92
     intend
    0.92
     weren
    0.91
     traded
    0.90
     opted
    0.90
     haven
    0.89
    Activations Density 0.065%

    No Known Activations