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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. 1188
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    Explanations

    data related to statistics in sports

    oai_token-act-pair · gpt-3.5-turbo

    numerical performance statistics in sports contexts

    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
    abus
    -0.90
    sylv
    -0.75
     Canaver
    -0.71
    uana
    -0.70
    gypt
    -0.68
    Nich
    -0.68
     Gors
    -0.67
    rely
    -0.65
     ourselves
    -0.64
    abee
    -0.64
    POSITIVE LOGITS
     assists
    1.19
     interceptions
    1.18
     career
    1.05
     steals
    1.04
     appearances
    1.03
     receptions
    1.03
     touchdowns
    1.00
     strikeouts
    0.97
     saves
    0.97
     outings
    0.97
    Activations Density 0.171%

    No Known Activations