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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21892
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    Explanations

    sports-related accomplishments or statistics

    oai_token-act-pair · gpt-3.5-turbo

    sports statistics and performance metrics

    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
    forums
    -0.88
    indust
    -0.82
    enegger
    -0.75
    ureau
    -0.75
     Caucas
    -0.73
     accommod
    -0.73
    markets
    -0.71
     forums
    -0.69
     moder
    -0.69
    eworks
    -0.69
    POSITIVE LOGITS
     hits
    1.19
     steals
    1.17
     interception
    1.13
     interceptions
    1.12
     assists
    1.12
     punt
    1.09
     batted
    1.07
     blocked
    1.06
     slam
    1.06
     rebounds
    1.04
    Activations Density 0.693%

    No Known Activations