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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. 10-RES-JB
    6. 17802
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    Explanations

    dates and numbers

    oai_token-act-pair · gpt-3.5-turbo

    statements of curiosity and exploration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ALL
    -0.92
     EVERY
    -0.90
     goddamn
    -0.74
    !!!
    -0.71
    !!!!
    -0.71
    ALL
    -0.69
     Absolutely
    -0.69
    .#
    -0.68
     AMERICA
    -0.68
    ========
    -0.67
    POSITIVE LOGITS
    artney
    0.71
     quicker
    0.65
     softer
    0.64
     recons
    0.62
     neighbouring
    0.62
     later
    0.62
     slower
    0.60
     earlier
    0.60
     sharper
    0.60
     nearer
    0.59
    Activations Density 1.043%

    No Known Activations