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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. 8-RES-JB
    11. 2316
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    INDEX
    Explanations

    mentions of chefs, cooking, and related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to chefs and culinary professions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wink
    -0.69
    abies
    -0.68
     Wein
    -0.68
     Telecommunications
    -0.65
     Fein
    -0.65
     Polaris
    -0.65
     Armory
    -0.64
     Gott
    -0.64
     Osc
    -0.64
     Able
    -0.64
    POSITIVE LOGITS
    isine
    1.29
     restaurants
    1.17
     chefs
    1.17
     restaurant
    1.08
     cuisine
    1.07
     chef
    1.07
     eater
    1.06
     culinary
    1.01
     meals
    1.01
     Restaur
    0.99
    Activations Density 0.096%

    No Known Activations