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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. 13766
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    Explanations

    references to cartoons or cartoonists

    oai_token-act-pair · gpt-3.5-turbo

    references to cartoons

    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
    burgh
    -0.72
    pta
    -0.70
    ync
    -0.67
    rogens
    -0.65
     Sov
    -0.64
     Fen
    -0.63
    cript
    -0.61
    CI
    -0.59
     opio
    -0.59
    wick
    -0.58
    POSITIVE LOGITS
    ishly
    1.41
    ists
    1.30
    ist
    1.29
    ish
    1.13
    istically
    1.03
    istic
    1.01
    ing
    0.99
    enegger
    0.97
    ical
    0.96
    oons
    0.95
    Activations Density 0.061%

    No Known Activations