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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. 11-RES-JB
    11. 11912
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    Explanations

    details about sports competitions and tournaments

    oai_token-act-pair · gpt-3.5-turbo

    information related to sports teams and their participants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SourceFile
    -0.69
     Sometimes
    -0.68
    à¨
    -0.65
    Sometimes
    -0.64
    rome
    -0.63
     tant
    -0.63
     CTR
    -0.62
    wordpress
    -0.61
    lag
    -0.60
     Often
    -0.59
    POSITIVE LOGITS
     finalists
    1.39
     nominees
    1.21
     vying
    1.19
     selected
    1.18
     chosen
    1.14
     nominated
    1.10
    selected
    1.07
     invited
    1.04
     participating
    1.02
     entrants
    1.01
    Activations Density 0.495%

    No Known Activations