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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. 12546
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    Explanations

    the word "take" followed by related actions or topics

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving the concept of "takeaways."

    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
     advertised
    -0.66
    atron
    -0.62
    eering
    -0.62
     prest
    -0.62
     Kamp
    -0.61
     icing
    -0.61
     david
    -0.61
     Palest
    -0.61
    eers
    -0.60
     agre
    -0.60
    POSITIVE LOGITS
    aways
    1.72
    away
    1.29
    overs
    1.17
    offs
    1.05
    over
    0.96
    uchi
    0.95
    AW
    0.91
    off
    0.90
     advantage
    0.87
    out
    0.86
    Activations Density 0.038%

    No Known Activations