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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
    11. 6602
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    Explanations

    names containing accented characters

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "ré" and related accents or variations, indicating a focus on specific names or terms with diacritics

    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
     rooting
    -0.80
    helial
    -0.65
    ulse
    -0.63
     Cobra
    -0.63
     dividing
    -0.62
    KO
    -0.62
    helps
    -0.62
     Owl
    -0.61
     Genesis
    -0.60
     encouraging
    -0.60
    POSITIVE LOGITS
    ré
    1.37
    ité
    1.01
     Qué
    0.93
    theless
    0.92
     rall
    0.91
     Ré
    0.89
    lé
    0.86
     Janeiro
    0.85
    nant
    0.81
     Ãł
    0.78
    Activations Density 0.004%

    No Known Activations