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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. 4524
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    Explanations

    references to time coincidences or events happening simultaneously

    oai_token-act-pair · gpt-3.5-turbo

    references to specific days and times

    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
    efully
    -0.68
    emort
    -0.68
    seek
    -0.67
    ntil
    -0.64
    chieve
    -0.64
    better
    -0.63
    err
    -0.63
    erk
    -0.62
    kind
    -0.61
    itus
    -0.61
    POSITIVE LOGITS
     that
    0.97
     as
    0.88
     AS
    0.73
     THAT
    0.66
     Prohibition
    0.63
     Kirin
    0.63
     Ivanka
    0.61
    as
    0.57
     Newsweek
    0.56
    that
    0.56
    Activations Density 0.037%

    No Known Activations