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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    mentions of the word "Man" followed by a number on a scale from 9 to 10

    oai_token-act-pair · gpt-3.5-turbo

    references to the character "Man" from the "Spider-Man" franchise

    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
     rs
    -0.73
     displacement
    -0.68
     lottery
    -0.66
     engagement
    -0.64
     freshmen
    -0.64
     ivory
    -0.64
     enrichment
    -0.63
     attendance
    -0.63
     pupils
    -0.62
    affle
    -0.62
    POSITIVE LOGITS
    Man
    3.81
     Man
    2.23
    MAN
    2.07
    Woman
    1.84
    man
    1.77
    Men
    1.55
     MAN
    1.46
     man
    1.34
    Cop
    1.27
    Guy
    1.27
    Activations Density 0.017%

    No Known Activations