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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. 4-RES-JB
    11. 24021
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    Explanations

    individuals holding high-ranking positions or titles

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals in leadership or authoritative positions

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

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    Negative Logits
     selves
    -0.71
     pharmacies
    -0.67
    URA
    -0.66
     diapers
    -0.64
     tears
    -0.64
     distractions
    -0.62
     colonies
    -0.61
     contag
    -0.61
    edu
    -0.61
     secrets
    -0.60
    POSITIVE LOGITS
    staff
    0.78
    Roll
    0.74
    pole
    0.69
     Standing
    0.69
    stone
    0.68
    CEO
    0.65
    Leader
    0.63
    pper
    0.63
    title
    0.62
    ottesville
    0.62
    Activations Density 0.135%

    No Known Activations