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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. 18296
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    Explanations

    time-related phrases, specifically mentioning the number of years

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and references to time periods

    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
    ourcing
    -0.67
    %);
    -0.65
    ernels
    -0.64
    utor
    -0.64
    enegger
    -0.63
    uez
    -0.61
    othy
    -0.59
    FORMATION
    -0.58
    ,,,,,,,,
    -0.58
    oidal
    -0.58
    POSITIVE LOGITS
     history
    1.00
    history
    0.92
     decades
    0.90
     years
    0.88
     generations
    0.87
     memory
    0.83
     decade
    0.82
    years
    0.81
     ann
    0.76
     tries
    0.74
    Activations Density 0.042%

    No Known Activations