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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. 0-RES-JB
    11. 10100
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    INDEX
    Explanations

    the presence of the word "fold"

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "folding"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mexicans
    -0.71
    seys
    -0.71
    Rod
    -0.70
    erson
    -0.68
     Bard
    -0.68
    vil
    -0.66
    argon
    -0.64
     Sev
    -0.64
     retaliation
    -0.62
     Recovery
    -0.61
    POSITIVE LOGITS
     fold
    4.40
     folds
    3.07
    fold
    2.63
     Fold
    2.60
     folding
    2.38
     folded
    2.32
     fray
    1.34
     shuffle
    1.13
     flap
    1.04
     zipper
    1.02
    Activations Density 0.017%

    No Known Activations