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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. 8503
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    Explanations

    user interactions or actions related to clicking or pressing buttons

    oai_token-act-pair · gpt-3.5-turbo

    instructions or actions related to user interface interactions

    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
    oln
    -0.67
    udeb
    -0.65
    wives
    -0.61
    isine
    -0.60
    mean
    -0.60
    arnaev
    -0.58
    imester
    -0.57
    von
    -0.57
     kitchens
    -0.56
    BuyableInstoreAndOnline
    -0.56
    POSITIVE LOGITS
     button
    1.39
     icon
    1.18
     buttons
    1.11
    button
    1.04
     arrow
    0.95
     Button
    0.94
     thumbnail
    0.92
    Button
    0.84
     toolbar
    0.84
     icons
    0.83
    Activations Density 0.134%

    No Known Activations