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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. 15485
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    Explanations

    references to books or publications

    oai_token-act-pair · gpt-3.5-turbo

    references to books or comic books

    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
    Í
    -0.67
    rity
    -0.66
     rad
    -0.62
     persistence
    -0.62
     Sr
    -0.61
     Explos
    -0.59
     saline
    -0.57
     intermittent
    -0.57
     Kel
    -0.57
     gib
    -0.57
    POSITIVE LOGITS
    book
    4.44
    books
    3.56
    Book
    2.60
    BOOK
    2.49
     Book
    1.93
     book
    1.87
    Books
    1.81
    ebook
    1.72
     BOOK
    1.55
     books
    1.47
    Activations Density 0.007%

    No Known Activations