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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. 8-RES-JB
    11. 8430
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    Explanations

    specific questions and prompts for information

    oai_token-act-pair · gpt-3.5-turbo

    questions or prompts seeking information and personal insights

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    riot
    -0.72
    ritz
    -0.68
    Liber
    -0.63
    aline
    -0.63
    ocaust
    -0.62
    pire
    -0.62
     Shutterstock
    -0.62
    luent
    -0.61
    ploma
    -0.61
    IGH
    -0.61
    POSITIVE LOGITS
     reasons
    1.06
     whereabouts
    1.01
     ways
    1.00
     specifics
    0.99
     motivations
    0.96
     number
    0.94
     extent
    0.94
     direction
    0.94
     approximate
    0.92
     timeframe
    0.91
    Activations Density 0.753%

    No Known Activations