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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. 3-RES-JB
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    Explanations

    mentions of people or things named "Penny"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Penny" and variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hips
    -0.83
    IAL
    -0.75
    çīĪ
    -0.74
    andowski
    -0.69
    ILLE
    -0.69
    ROR
    -0.67
     //[
    -0.66
    REDACTED
    -0.66
    oice
    -0.65
    âĸº
    -0.64
    POSITIVE LOGITS
    unia
    0.96
    acht
    0.93
     Arcade
    0.85
    abyte
    0.82
    apult
    0.80
    asus
    0.78
    oshenko
    0.78
    uzzle
    0.78
     Penny
    0.78
     Pax
    0.76
    Activations Density 0.020%

    No Known Activations