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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. 11-RES-JB
    11. 20463
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    Explanations

    quotations in text

    oai_token-act-pair · gpt-3.5-turbo

    quotation marks and their usage in text

    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
     shock
    -0.78
     metic
    -0.77
     lure
    -0.76
     median
    -0.75
     variance
    -0.72
     maximum
    -0.72
     wonder
    -0.71
     pitch
    -0.71
     overlap
    -0.71
     variability
    -0.70
    POSITIVE LOGITS
    before
    1.89
    until
    1.87
    during
    1.87
    without
    1.86
    into
    1.86
    within
    1.84
    against
    1.84
    because
    1.82
    through
    1.80
    with
    1.79
    Activations Density 0.175%

    No Known Activations