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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. 13711
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    Explanations

    numerals or percentages

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistical percentages

    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
     Tycoon
    -0.75
    redo
    -0.71
     marqu
    -0.70
    achev
    -0.67
     Wilde
    -0.65
    erity
    -0.65
    sonian
    -0.64
    ellation
    -0.61
    bilt
    -0.61
    rovers
    -0.59
    POSITIVE LOGITS
     percent
    1.16
    %
    1.12
    %,
    1.09
    %.
    1.06
    %;
    1.03
    percent
    0.90
     ±
    0.89
    ±
    0.89
     %
    0.84
     Percent
    0.84
    Activations Density 0.065%

    No Known Activations