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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. 6083
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    INDEX
    Explanations

    specific mentions of the text "Vol" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    references to volume numbers in publications

    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
    riad
    -0.84
     Pearce
    -0.66
     Rampage
    -0.65
    LESS
    -0.64
    erella
    -0.63
     Gauntlet
    -0.61
     Defenders
    -0.60
     polished
    -0.60
    -|
    -0.60
    hetics
    -0.59
    POSITIVE LOGITS
    atility
    1.31
    atile
    1.29
    untary
    1.21
    umes
    1.20
    unte
    0.99
    leys
    0.92
    untarily
    0.92
    cano
    0.84
    uble
    0.83
    upt
    0.78
    Activations Density 0.014%

    No Known Activations