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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. 1-RES-JB
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    Explanations

    French words or names ending with "ée" or "ère"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific accented characters or diacritics in words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tracks
    -0.64
    raft
    -0.63
    okin
    -0.63
    trans
    -0.62
    png
    -0.62
    ST
    -0.61
    MR
    -0.61
    venants
    -0.60
    urg
    -0.60
    DM
    -0.60
    POSITIVE LOGITS
    ée
    1.19
    tainment
    0.88
     Lauder
    0.86
     Royale
    0.80
     dé
    0.79
     Ãł
    0.78
    ĨĴ
    0.78
     Marie
    0.78
    naire
    0.77
     que
    0.73
    Activations Density 0.004%

    No Known Activations