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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. 2409
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    INDEX
    Explanations

    mentions of small or tiny quantities or proportions

    oai_token-act-pair · gpt-3.5-turbo

    references to small quantities or minor groups

    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
    ources
    -0.76
    YR
    -0.76
    stocks
    -0.74
    ourses
    -0.73
    chwitz
    -0.72
    roth
    -0.70
    aucus
    -0.69
    sbm
    -0.68
    HA
    -0.68
    vantage
    -0.68
    POSITIVE LOGITS
    pox
    1.31
     amount
    1.12
     fraction
    1.11
     handful
    1.06
     percentage
    1.03
     subset
    0.92
     snippet
    0.92
     minority
    0.91
     footprint
    0.89
     sample
    0.88
    Activations Density 0.067%

    No Known Activations