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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 10283
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    INDEX
    Explanations

    decimal numbers, specifically those indicating a degree or percentage

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics

    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
    hess
    -0.65
    linger
    -0.64
    ilial
    -0.59
     disguise
    -0.59
    rament
    -0.55
     Shant
    -0.55
     Painter
    -0.54
    adobe
    -0.53
     Tycoon
    -0.53
    ãĥĦ
    -0.52
    POSITIVE LOGITS
     million
    1.26
     billion
    1.14
     lakh
    1.11
    million
    1.10
     percent
    1.07
    %.
    1.04
    %
    1.03
     trillion
    1.02
    %,
    1.01
     crore
    0.99
    Activations Density 0.061%

    No Known Activations