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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. 6359
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    INDEX
    Explanations

    numbers related to sports statistics, such as points, saves, or yards

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics related to sports performances

    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
    chapter
    -0.73
    hao
    -0.66
     Situation
    -0.62
    netflix
    -0.61
    insula
    -0.61
     Issue
    -0.60
    lihood
    -0.60
    aminer
    -0.60
     Econom
    -0.60
    bara
    -0.60
    POSITIVE LOGITS
     possessions
    0.97
     assists
    0.96
     points
    0.96
    %
    0.93
     percent
    0.93
     consecutive
    0.90
     pts
    0.90
     touches
    0.85
     goals
    0.83
     dispos
    0.82
    Activations Density 0.089%

    No Known Activations