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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. 3-RES-JB
    11. 22782
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    Explanations

    sports related terms, particularly related to baseball, soccer, and football

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to sports and athletic events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.67
     probable
    -0.64
    shapeshifter
    -0.63
     experienced
    -0.63
     experience
    -0.61
     inexperienced
    -0.61
     inexper
    -0.61
     flawless
    -0.61
    ################
    -0.61
     Nightmares
    -0.61
    POSITIVE LOGITS
    pac
    0.78
    trop
    0.77
    apor
    0.75
    nell
    0.70
    opard
    0.70
    Pak
    0.68
    rities
    0.68
     rugby
    0.67
    ctor
    0.67
    lime
    0.67
    Activations Density 0.210%

    No Known Activations