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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. 11-RES-JB
    11. 13680
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    Explanations

    sports statistics and related data

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations and statistical metrics related to sports scores

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     constituent
    -0.74
    sylv
    -0.71
    antically
    -0.70
     bounded
    -0.68
     sounding
    -0.66
    onym
    -0.62
     learners
    -0.62
     preparations
    -0.61
     nort
    -0.61
     violet
    -0.60
    POSITIVE LOGITS
    %:
    1.12
     STL
    1.06
     FG
    0.98
    OPS
    0.96
     PTS
    0.95
    SH
    0.92
     FTA
    0.92
    DEF
    0.88
     Assist
    0.86
    GM
    0.86
    Activations Density 0.061%

    No Known Activations