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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. 7-RES-JB
    11. 23943
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    Explanations

    descriptions of cooking recipes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of recipes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lasses
    -0.85
    osc
    -0.76
    usters
    -0.73
    oscope
    -0.72
    etime
    -0.72
    phe
    -0.71
    gow
    -0.70
    ements
    -0.65
    atform
    -0.65
    leaning
    -0.64
    POSITIVE LOGITS
     recipes
    1.09
     recipe
    1.04
    Ingredients
    0.94
    Recipe
    0.92
     Recipes
    0.85
    reci
    0.83
     recip
    0.79
    isine
    0.79
     ingredient
    0.75
     ingredients
    0.73
    Activations Density 0.045%

    No Known Activations