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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    mentions of the word "pizza"

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of pizza

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    drawn
    -0.76
    draw
    -0.76
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.74
    姫
    -0.72
     ACTIONS
    -0.72
    track
    -0.71
    Thom
    -0.70
    Published
    -0.70
    ////////////////////////////////
    -0.70
    âĸ¬
    -0.70
    POSITIVE LOGITS
    izza
    1.13
     pizza
    1.09
     pies
    1.06
     oven
    1.06
     dough
    1.05
     Pizza
    1.04
    arella
    0.95
    isine
    0.95
    ocalypse
    0.94
     crust
    0.93
    Activations Density 0.008%

    No Known Activations