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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. 11-RES-JB
    11. 17674
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    Explanations

    references to rounds in sports drafts, particularly focusing on first and second rounds

    oai_token-act-pair · gpt-3.5-turbo

    various mentions of draft picks and their corresponding rounds in sports contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Shutterstock
    -0.66
    culus
    -0.66
    ":[
    -0.63
    igmat
    -0.62
    ITNESS
    -0.61
    iannopoulos
    -0.60
    within
    -0.60
     Advertising
    -0.60
     activism
    -0.59
    BAT
    -0.59
    POSITIVE LOGITS
     baseman
    1.24
    round
    1.19
    rounder
    1.17
     round
    1.14
    Round
    1.05
     overall
    0.99
     Round
    0.88
     choice
    0.86
    -,
    0.84
     picks
    0.84
    Activations Density 0.070%

    No Known Activations