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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. 7-RES-JB
    11. 22996
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    Explanations

    locations or distances expressed in units

    oai_token-act-pair · gpt-3.5-turbo

    quantitative measurements and comparisons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eret
    -0.79
    OOL
    -0.67
    PLA
    -0.65
    hib
    -0.64
    inburgh
    -0.64
    rums
    -0.64
    LIB
    -0.62
    udeb
    -0.62
    ivities
    -0.61
    itual
    -0.61
    POSITIVE LOGITS
     apiece
    1.07
     increments
    0.75
     worth
    0.74
    fen
    0.74
     squared
    0.73
     per
    0.73
     shy
    0.72
    lihood
    0.71
     ago
    0.71
     advance
    0.68
    Activations Density 0.239%

    No Known Activations