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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 16610
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    oai_token-act-pair · gpt-3.5-turbo

    references to images and their credits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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     backward
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     deciding
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     reservations
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     prematurely
    -0.68
     scheduled
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     unexpectedly
    -0.67
     essentially
    -0.67
     refreshing
    -0.66
    POSITIVE LOGITS
    photos
    1.32
    utterstock
    1.25
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    1.22
     Photography
    1.19
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    1.11
    Images
    1.09
    photo
    1.07
    images
    1.06
     Images
    1.04
     PHOTO
    1.04
    Activations Density 0.219%

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