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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. 12-RES-JB
    11. 5041
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    INDEX
    Explanations

    statistics related to sports performances, especially in terms of points, goals, and assists

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    numerical statistics related to sports performance

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    lings
    -0.65
     Yah
    -0.63
    Loading
    -0.62
     Bride
    -0.61
    abus
    -0.61
     Fuj
    -0.60
     Friedrich
    -0.59
     Ain
    -0.58
     backdrop
    -0.57
     Brune
    -0.57
    POSITIVE LOGITS
     saves
    1.01
     receptions
    1.00
     homers
    0.99
     strikeouts
    0.96
     tackles
    0.95
     victories
    0.94
     steals
    0.93
     interceptions
    0.93
     catches
    0.93
     assists
    0.92
    Activations Density 0.102%

    No Known Activations