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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. 1-RES-JB
    11. 9045
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    Explanations

    mentions related to news articles or publications

    oai_token-act-pair · gpt-3.5-turbo

    sections of text related to announcement and newsworthy events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    hement
    -1.07
    ĸļ
    -0.83
    arantine
    -0.80
    nesday
    -0.76
     undermin
    -0.76
    ensibly
    -0.75
     intervened
    -0.74
     ende
    -0.72
     destro
    -0.72
    uary
    -0.71
    POSITIVE LOGITS
    ................................................................
    0.88
    References
    0.86
    CAST
    0.84
    Ingredients
    0.83
    rawdownloadcloneembedreportprint
    0.83
    ³³³³³³³³³³³³³³³³
    0.83
    GROUND
    0.82
    ================================================================
    0.82
    Trivia
    0.81
    è¦ļéĨĴ
    0.80
    Activations Density 1.088%

    No Known Activations