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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. 5873
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    INDEX
    Explanations

    structured information about sports matchups, including team names, scores, and records

    oai_token-act-pair · gpt-3.5-turbo

    sports matchups and team-related metrics

    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
     seiz
    -0.88
     tabl
    -0.81
    earances
    -0.78
    pread
    -0.76
     glim
    -0.73
    ptoms
    -0.71
    Words
    -0.71
    obbies
    -0.71
    arium
    -0.70
     newsp
    -0.70
    POSITIVE LOGITS
     LSU
    1.56
     TCU
    1.56
     Clemson
    1.52
     Purdue
    1.49
     Vanderbilt
    1.48
     Baylor
    1.43
     Louisville
    1.43
     Notre
    1.43
     UCLA
    1.42
     Rutgers
    1.42
    Activations Density 0.127%

    No Known Activations