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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. 11235
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    INDEX
    Explanations

    words related to physical objects or tools, specifically ones related to cutting or marking objects

    oai_token-act-pair · gpt-3.5-turbo

    terms related to games and competitive activities

    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
    cale
    -0.78
     Spiel
    -0.64
    ndum
    -0.62
     Cause
    -0.61
    iege
    -0.59
    ync
    -0.58
     Enlightenment
    -0.57
    ynski
    -0.57
    aurus
    -0.57
     Timeline
    -0.57
    POSITIVE LOGITS
    aments
    1.06
    books
    1.00
    ups
    0.98
    ings
    0.95
    boards
    0.95
    ages
    0.93
    lets
    0.92
    bars
    0.91
    boxes
    0.91
    breakers
    0.91
    Activations Density 0.481%

    No Known Activations