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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. 5956
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    Explanations

    numbers in text, specifically sequences of numbers that indicate an order or a count

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities or measurements, particularly related to groups and numbers

    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
    icz
    -0.79
    atown
    -0.79
    Ô
    -0.78
    maxwell
    -0.74
    abwe
    -0.71
    vantage
    -0.70
    assetsadobe
    -0.69
    haul
    -0.66
    restling
    -0.66
    ategory
    -0.66
    POSITIVE LOGITS
    teenth
    1.33
     largest
    1.20
     biggest
    1.16
     remaining
    1.10
     aforementioned
    1.10
     finalists
    1.09
     pillars
    1.05
     brightest
    1.02
     main
    1.00
     highest
    0.98
    Activations Density 0.128%

    No Known Activations