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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. 6-RES-JB
    11. 9355
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    INDEX
    Explanations

    professional sports-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to professional and international sports or athletes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oeuv
    -0.74
    CAP
    -0.73
    argon
    -0.71
    wark
    -0.70
    mith
    -0.69
    attr
    -0.69
    need
    -0.69
    respond
    -0.69
    orah
    -0.68
    uble
    -0.68
    POSITIVE LOGITS
     leagues
    1.06
     league
    1.02
     football
    0.98
     footballer
    0.97
     athlete
    0.93
     scouting
    0.93
     League
    0.91
     tournament
    0.90
     wrestler
    0.89
     athletics
    0.89
    Activations Density 0.067%

    No Known Activations