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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. 4112
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    Explanations

    stats or descriptions related to interceptions in a football game

    oai_token-act-pair · gpt-3.5-turbo

    references to turnovers in football, specifically interceptions

    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
    illac
    -0.83
    imb
    -0.82
    oras
    -0.79
    details
    -0.78
    atten
    -0.75
    enes
    -0.74
    travel
    -0.71
    alg
    -0.71
    DR
    -0.71
    azer
    -0.71
    POSITIVE LOGITS
     interceptions
    1.04
     interception
    0.93
     catcher
    0.86
     touchdowns
    0.84
     touchdown
    0.78
     cornerback
    0.78
     fumble
    0.78
    ception
    0.77
     turnovers
    0.76
     rusher
    0.75
    Activations Density 0.009%

    No Known Activations