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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. 11-RES-JB
    6. 10437
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    INDEX
    Explanations

    statements that refer to a narrative or a sequence of events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "story."

    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
    ignt
    -0.77
    orem
    -0.76
    emale
    -0.73
    aez
    -0.71
    inence
    -0.69
    ynski
    -0.68
    anyon
    -0.65
    ardless
    -0.62
    ategory
    -0.61
     numeric
    -0.61
    POSITIVE LOGITS
    telling
    1.33
    te
    1.13
    boards
    1.01
    book
    1.00
    tell
    0.98
     arc
    0.97
    board
    0.94
     arcs
    0.90
    books
    0.89
    boarding
    0.86
    Activations Density 0.086%

    No Known Activations