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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. 10-RES-JB
    11. 11053
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    Explanations

    amounts or measurements in cooking recipes

    oai_token-act-pair · gpt-3.5-turbo

    specific measurements and quantities related to cooking ingredients

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yrights
    -0.80
    enhagen
    -0.79
    vid
    -0.72
    pid
    -0.68
    Politics
    -0.65
    farious
    -0.65
    iannopoulos
    -0.65
    answer
    -0.64
    PLAY
    -0.64
    tags
    -0.64
    POSITIVE LOGITS
     oats
    1.05
     shredded
    1.03
     sugar
    1.02
     vegetable
    1.00
     coconut
    0.99
     olive
    0.98
     powdered
    0.97
     butter
    0.96
     strawberries
    0.95
     diced
    0.94
    Activations Density 0.038%

    No Known Activations