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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. 9-RES-JB
    11. 13433
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    Explanations

    statistics and performance metrics related to hitting in sports

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sports statistics, particularly focused on hitting performance in baseball

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Enlarge
    -0.72
    SPONSORED
    -0.70
    MQ
    -0.68
    markets
    -0.67
     Settlement
    -0.66
    advertising
    -0.66
    Panel
    -0.64
    liness
    -0.63
    âĶĢâĶĢ
    -0.63
    isin
    -0.62
    POSITIVE LOGITS
     interceptions
    0.85
    uracy
    0.78
    bled
    0.77
     homers
    0.75
     fewer
    0.73
     touchdowns
    0.72
     consecutive
    0.72
     touchdown
    0.71
     passer
    0.70
    omore
    0.69
    Activations Density 0.125%

    No Known Activations