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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. 4-RES-JB
    11. 15359
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    Explanations

    statistical information related to sports events

    oai_token-act-pair · gpt-3.5-turbo

    references to scoring points in sports statistics

    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
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    No Comments

    Negative Logits
    thur
    -0.71
     therap
    -0.69
    yss
    -0.68
     externalToEVAOnly
    -0.68
    verse
    -0.67
    DAQ
    -0.65
     Tycoon
    -0.65
    emale
    -0.63
    rylic
    -0.62
    uploads
    -0.61
    POSITIVE LOGITS
     Reyes
    0.80
     scored
    0.77
     apiece
    0.77
     scorer
    0.76
    pointers
    0.74
     Prescott
    0.71
    points
    0.71
     ·
    0.71
     kicker
    0.68
     touchdowns
    0.68
    Activations Density 0.022%

    No Known Activations