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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. 0-RES-JB
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    Explanations

    mentions of the name "Franco" specifically

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Franco."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dwell
    -0.77
    yx
    -0.73
    birds
    -0.70
     Daw
    -0.69
    ¶
    -0.62
     Arkansas
    -0.61
     bir
    -0.61
    µ
    -0.60
     Savior
    -0.60
     OD
    -0.60
    POSITIVE LOGITS
     Franco
    4.18
    Fran
    2.04
     Franz
    1.38
     Franç
    1.36
     Russo
    1.34
     Macron
    1.33
     François
    1.31
     Francois
    1.27
     Ambro
    1.24
     Catalan
    1.24
    Activations Density 0.018%

    No Known Activations