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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. 8-RES-JB
    11. 14406
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fencing
    -0.77
     manif
    -0.76
    wagen
    -0.72
     accomp
    -0.69
    ilant
    -0.69
     respons
    -0.67
     travers
    -0.67
     administr
    -0.67
     symp
    -0.67
     brid
    -0.66
    POSITIVE LOGITS
     SHARES
    1.29
     Explicit
    0.92
     NCT
    0.87
     Expand
    0.85
     Corinthians
    0.83
    æľ
    0.79
     Shares
    0.78
     ILCS
    0.78
    DX
    0.76
    298
    0.76
    Activations Density 0.061%

    No Known Activations