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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. 17694
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    Explanations

    references to American football-related terminology, specifically focusing on the term "passer."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to passers and passing in a sports context

    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
     Queens
    -0.65
     Gazette
    -0.63
    undo
    -0.63
    ripp
    -0.62
    agascar
    -0.62
    eat
    -0.61
     Milk
    -0.61
    GPU
    -0.61
    endish
    -0.60
    Ku
    -0.59
    POSITIVE LOGITS
     passer
    0.87
    lihood
    0.77
    atures
    0.75
    ages
    0.74
     wip
    0.74
     passers
    0.74
    iqueness
    0.73
    vier
    0.72
    bly
    0.72
    by
    0.72
    Activations Density 0.010%

    No Known Activations