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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. 10-RES-JB
    6. 3684
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    INDEX
    Explanations

    sports-related terms, specifically focusing on game outcomes and streaks

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to games, matches, and winning or losing streaks 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
     Printed
    -0.69
    rals
    -0.69
     Anon
    -0.68
    forts
    -0.63
     ripe
    -0.63
     inputs
    -0.62
    Images
    -0.62
    papers
    -0.61
     bribes
    -0.60
    irens
    -0.59
    POSITIVE LOGITS
     streak
    1.44
     unbeaten
    1.24
     undefeated
    1.00
     streaks
    0.95
     losing
    0.91
     drought
    0.88
     slump
    0.87
     hiatus
    0.84
     record
    0.83
     comeback
    0.83
    Activations Density 0.084%

    No Known Activations