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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. 10-RES-JB
    11. 7453
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    Explanations

    statistics related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to player performance in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    unny
    -0.67
    morrow
    -0.67
    vet
    -0.65
    soType
    -0.65
    antry
    -0.65
    gd
    -0.65
    emin
    -0.65
    wcsstore
    -0.63
    rontal
    -0.63
    mentioned
    -0.62
    POSITIVE LOGITS
     opponents
    0.88
     fewer
    0.86
     foes
    0.83
     opposing
    0.82
     batters
    0.82
     hitters
    0.78
     opponent
    0.77
     enemy
    0.76
     adversaries
    0.72
     intruder
    0.72
    Activations Density 0.070%

    No Known Activations