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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. 12531
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    Explanations

    dates, years, and statistics in a sports context

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" used frequently throughout the text

    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
    ictionary
    -0.81
    emn
    -0.74
    actionDate
    -0.74
    soType
    -0.73
    udding
    -0.68
    Enlarge
    -0.68
    blind
    -0.66
     [&
    -0.65
    minist
    -0.65
    polit
    -0.64
    POSITIVE LOGITS
     scored
    1.06
     averaged
    1.06
     expects
    0.98
     fared
    0.97
     proceeded
    0.96
     hasn
    0.95
     deserves
    0.92
     underwent
    0.91
     could
    0.91
     possesses
    0.91
    Activations Density 0.133%

    No Known Activations