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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. 12249
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    Explanations

    references to sports players and positions, especially wide receivers

    oai_token-act-pair · gpt-3.5-turbo

    references to football players, specifically wide receivers

    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
    iewicz
    -0.93
    xit
    -0.75
    henko
    -0.75
    uca
    -0.71
     plur
    -0.70
    emia
    -0.69
    naires
    -0.69
     Maid
    -0.67
    ulin
    -0.65
    tick
    -0.64
    POSITIVE LOGITS
     Receiver
    0.95
    ceiver
    0.90
     receiver
    0.88
     receptions
    0.85
     corps
    0.83
     receivers
    0.82
     touchdowns
    0.82
     catches
    0.75
     touchdown
    0.75
     Rece
    0.74
    Activations Density 0.055%

    No Known Activations