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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. 9-RES-JB
    6. 21269
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    Explanations

    numbers with decimals

    oai_token-act-pair · gpt-3.5-turbo

    numeric data related to statistics and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    linger
    -0.71
    hess
    -0.62
    ilial
    -0.60
    ributed
    -0.59
    adobe
    -0.57
    dream
    -0.57
    asher
    -0.57
     Citiz
    -0.57
    vern
    -0.56
    parser
    -0.56
    POSITIVE LOGITS
     million
    1.25
     billion
    1.17
     percent
    1.09
    %.
    1.09
    %
    1.07
     lakh
    1.07
    %,
    1.06
    million
    1.04
     trillion
    1.03
     crore
    1.01
    Activations Density 0.067%

    No Known Activations