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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. 9-RES-JB
    11. 23545
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    INDEX
    Explanations

    mentions of champions or championship titles

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "champion" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utenberg
    -0.78
    TO
    -0.70
    ftime
    -0.67
    mberg
    -0.67
    ename
    -0.66
    ATIONS
    -0.66
    employment
    -0.65
    --+
    -0.65
    tics
    -0.65
    duino
    -0.64
    POSITIVE LOGITS
    hip
    0.94
     boxer
    0.93
    aign
    0.91
     contender
    0.82
    ampion
    0.80
     challenger
    0.78
     contenders
    0.77
    boards
    0.76
    iors
    0.76
     Trophy
    0.74
    Activations Density 0.041%

    No Known Activations