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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. 11-RES-JB
    11. 2544
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    Explanations

    names of professional sports teams

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    trak
    -0.69
    iguous
    -0.69
    tical
    -0.66
    lishes
    -0.65
    artment
    -0.64
    yrinth
    -0.62
    hesive
    -0.61
    cemic
    -0.61
    lly
    -0.61
    vre
    -0.59
    POSITIVE LOGITS
     fans
    1.14
     owner
    1.00
     coach
    0.99
     teammate
    0.97
     rookie
    0.94
     teammates
    0.94
     Fans
    0.94
     winger
    0.91
     Insider
    0.91
    Nation
    0.90
    Activations Density 0.098%

    No Known Activations