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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. 16140
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    INDEX
    Explanations

    ingredients and measurements commonly used in recipes

    oai_token-act-pair · gpt-3.5-turbo

    measurements and quantities related to cooking

    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
     Halls
    -0.82
     skelet
    -0.81
    endars
    -0.76
    gdala
    -0.73
    loads
    -0.69
    Delivery
    -0.67
    assetsadobe
    -0.65
     Wonderland
    -0.65
     Colleges
    -0.64
     helicop
    -0.64
    POSITIVE LOGITS
     tsp
    1.06
     vinegar
    1.01
     garlic
    1.00
     baking
    0.98
     salt
    0.97
     teaspoons
    0.95
     cinnamon
    0.94
     teaspoon
    0.91
     vanilla
    0.89
     yeast
    0.89
    Activations Density 0.033%

    No Known Activations