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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. 9-RES-JB
    11. 7019
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    Explanations

    patterns of characters that resemble ASCII art, including lines, slashes, and symbols

    oai_token-act-pair · gpt-3.5-turbo

    symbolic representations or visual patterns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aughs
    -0.61
    oÄŁ
    -0.61
     Mehran
    -0.60
    BILL
    -0.59
    bleacher
    -0.59
    estern
    -0.58
    yss
    -0.57
     Mandela
    -0.56
    chev
    -0.55
    ideshow
    -0.55
    POSITIVE LOGITS
     suffice
    0.69
     feas
    0.67
     deline
    0.65
     gist
    0.65
     [&
    0.65
     swath
    0.63
     vaguely
    0.63
     prioritize
    0.63
     consensus
    0.62
    phasis
    0.62
    Activations Density 1.757%

    No Known Activations