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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. 3-RES-JB
    11. 17830
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    INDEX
    Explanations

    references to boards, committees, or regulatory bodies

    oai_token-act-pair · gpt-3.5-turbo

    references to regulatory or governing boards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    udeau
    -0.75
    icago
    -0.73
     IMAGES
    -0.72
    aeda
    -0.68
    borgh
    -0.67
    iour
    -0.67
    icity
    -0.67
    DonaldTrump
    -0.67
    selves
    -0.65
     dab
    -0.64
    POSITIVE LOGITS
    Board
    1.11
     Board
    1.09
    walk
    1.01
    board
    0.90
    Chair
    0.88
     Boards
    0.87
     Chair
    0.85
    room
    0.84
     boards
    0.83
    member
    0.82
    Activations Density 0.014%

    No Known Activations