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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. 10-RES-JB
    11. 10708
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    INDEX
    Explanations

    statistics or numerical figures mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to percentages and growth rates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lows
    -0.69
     organs
    -0.67
     machines
    -0.66
     devils
    -0.66
     Machines
    -0.66
     IDs
    -0.66
     fluids
    -0.65
     guts
    -0.65
     secrets
    -0.64
     embassies
    -0.64
    POSITIVE LOGITS
    %-
    1.14
     kilomet
    0.94
     percent
    0.94
     mile
    0.92
    th
    0.91
    %
    0.91
    -
    0.89
    fold
    0.89
     metre
    0.89
    mile
    0.88
    Activations Density 0.114%

    No Known Activations