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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. 10-RES-JB
    6. 22131
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    Explanations

    lines related to the creation process, such as sketches, prototypes, and detailed instructions

    oai_token-act-pair · gpt-3.5-turbo

    content related to artistic or design processes

    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
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    Negative Logits
     Mub
    -0.79
     antiv
    -0.76
     Limbaugh
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    BUS
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    Õ
    -0.74
    opol
    -0.73
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     antitrust
    -0.72
     whistlebl
    -0.72
    POSITIVE LOGITS
     drawings
    1.67
     artwork
    1.66
     sculpt
    1.56
     sketches
    1.49
     sculptures
    1.45
     sculpture
    1.45
     illustrations
    1.39
     paintings
    1.34
     designs
    1.34
     Designs
    1.31
    Activations Density 0.742%

    No Known Activations