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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. 2-RES-JB
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    Explanations

    mentions of the word "Tart" or variations of the word

    oai_token-act-pair · gpt-3.5-turbo

    references to tart flavors and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Inqu
    -0.77
    ITNESS
    -0.73
     Goff
    -0.69
    enez
    -0.68
    ULTS
    -0.67
    à
    -0.66
     Glob
    -0.63
    UTERS
    -0.62
    braska
    -0.62
    PER
    -0.62
    POSITIVE LOGITS
    arus
    1.17
     Tart
    1.04
    rums
    0.84
    arb
    0.83
    ar
    0.82
     tart
    0.82
    tis
    0.81
    arist
    0.79
    atars
    0.79
    rand
    0.78
    Activations Density 0.015%

    No Known Activations