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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. 22194
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    Explanations

    numerical quantities and statistics

    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 @ 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
     onwards
    -0.71
     fray
    -0.63
    andro
    -0.60
    ersen
    -0.59
    ande
    -0.58
     Naj
    -0.55
    alled
    -0.55
    arson
    -0.55
    obil
    -0.55
     Bers
    -0.55
    POSITIVE LOGITS
    %).
    1.03
    %)
    0.90
     cents
    0.81
     equivalent
    0.77
     equivalents
    0.75
     ILCS
    0.75
    EStreamFrame
    0.75
    %.
    0.75
    %),
    0.72
     multiplied
    0.71
    Activations Density 0.163%

    No Known Activations