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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. 2108
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    Explanations

    measurements and ingredients in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    measurements and quantities of ingredients in 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
    theme
    -0.75
    agame
    -0.73
    plays
    -0.73
    pid
    -0.72
    details
    -0.70
    play
    -0.69
    rology
    -0.68
    gnu
    -0.68
    scope
    -0.68
    artist
    -0.68
    POSITIVE LOGITS
    poons
    0.99
    bsp
    0.97
     servings
    0.91
     Organic
    0.89
     potassium
    0.88
     thick
    0.84
     vegetable
    0.82
     cups
    0.81
     oats
    0.81
     Ingredients
    0.81
    Activations Density 0.037%

    No Known Activations