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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. 20445
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    Explanations

    locations or events where people are gathered or performing activities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "at."

    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
    xual
    -0.80
     dominates
    -0.71
    Thumbnail
    -0.70
    iframe
    -0.69
     thereof
    -0.68
    PDF
    -0.66
    direction
    -0.66
    alpha
    -0.66
    HTML
    -0.65
     justifies
    -0.65
    POSITIVE LOGITS
    rium
    0.97
     Dull
    0.91
     Hof
    0.91
    onement
    0.89
     Disneyland
    0.89
     Cafe
    0.88
     least
    0.87
     Burning
    0.82
     Gateway
    0.82
     noon
    0.82
    Activations Density 0.121%

    No Known Activations