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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. 7-RES-JB
    11. 683
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    INDEX
    Explanations

    references to numerical points or scores

    oai_token-act-pair · gpt-3.5-turbo

    statistical data related to points and margins in polling or survey results

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ufact
    -0.77
    OOL
    -0.75
    ourt
    -0.75
    rology
    -0.74
    annis
    -0.71
    gee
    -0.70
    rodu
    -0.67
    uthor
    -0.67
    aware
    -0.66
    unte
    -0.65
    POSITIVE LOGITS
    point
    0.76
     apiece
    0.70
    manship
    0.69
    hift
    0.68
     mark
    0.67
     points
    0.67
    points
    0.67
    holder
    0.66
     marked
    0.65
     Amendments
    0.64
    Activations Density 0.021%

    No Known Activations