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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. 4-RES-JB
    11. 24481
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    INDEX
    Explanations

    numerical percentages or measurements

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating proximity or closeness to various metrics or thresholds

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

    No Comments

    Negative Logits
     behav
    -0.76
    birds
    -0.70
    Ĥª
    -0.66
    NS
    -0.65
     owes
    -0.65
     Cosponsors
    -0.64
    hya
    -0.61
    CB
    -0.61
     nep
    -0.61
    cu
    -0.61
    POSITIVE LOGITS
    sighted
    0.80
    othal
    0.78
     shore
    0.73
     schedule
    0.71
    ibaba
    0.70
    outheast
    0.70
    ffee
    0.70
    pload
    0.69
     reach
    0.69
    clusively
    0.67
    Activations Density 0.059%

    No Known Activations