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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. 1555
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    INDEX
    Explanations

    computer hardware components and related terms like brand names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of products, people, and places

    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
    ipolar
    -0.81
    umen
    -0.79
    itsch
    -0.74
    nuts
    -0.72
    secut
    -0.69
    urate
    -0.69
    orate
    -0.69
    nut
    -0.68
     hist
    -0.67
     divor
    -0.67
    POSITIVE LOGITS
    plings
    0.85
    stice
    0.84
    udo
    0.77
    arin
    0.74
    herry
    0.74
     Instrument
    0.74
    ustain
    0.73
    Sov
    0.73
    Sys
    0.71
     Sauce
    0.71
    Activations Density 0.073%

    No Known Activations