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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 24226
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    INDEX
    Explanations

    occurrences of a specific word

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific surname or term related to individuals involved in a news context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    weeney
    -0.77
    xon
    -0.72
    urgical
    -0.63
    asers
    -0.63
    xual
    -0.63
     Caldwell
    -0.61
    bard
    -0.60
     Cobra
    -0.59
    appropriate
    -0.59
    SEC
    -0.58
    POSITIVE LOGITS
    itives
    1.17
    erer
    0.78
    s
    0.78
    sworth
    0.75
    istani
    0.73
    aby
    0.73
    ief
    0.73
    ened
    0.72
    itive
    0.72
    ries
    0.70
    Activations Density 0.013%

    No Known Activations