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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. 10-RES-JB
    11. 10331
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    Explanations

    words related to extracting, deriving, or obtaining specific information or substances

    oai_token-act-pair · gpt-3.5-turbo

    terms related to extraction processes or methods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emate
    -0.63
    ggle
    -0.61
    soType
    -0.60
    ounce
    -0.59
    fram
    -0.59
    udeb
    -0.59
    dream
    -0.59
    cius
    -0.57
    bro
    -0.57
    roller
    -0.56
    POSITIVE LOGITS
     from
    0.95
    from
    0.84
    iable
    0.80
     FROM
    0.80
     confessions
    0.80
    ibles
    0.79
    From
    0.78
     From
    0.78
    ibly
    0.70
    ibility
    0.70
    Activations Density 0.095%

    No Known Activations