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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. 18845
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    oai_token-act-pair · gpt-3.5-turbo

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    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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     nodd
    -0.84
     vulner
    -0.81
     Bake
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     satell
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     demol
    -0.75
     conclud
    -0.74
     crochet
    -0.73
     hemor
    -0.71
     Gron
    -0.70
    POSITIVE LOGITS
    span
    1.31
    font
    1.31
    div
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    td
    1.28
    url
    1.20
    href
    1.18
    center
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    iframe
    1.13
    manac
    1.09
    figure
    1.06
    Activations Density 0.011%

    No Known Activations