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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

    proper names, specifically "Eugene" and "Otto"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Eugene" as well as references to other specific individuals

    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
    minist
    -0.73
    td
    -0.69
    sed
    -0.68
    footed
    -0.68
    teen
    -0.68
    needed
    -0.68
    word
    -0.67
    cher
    -0.66
     brow
    -0.66
    words
    -0.66
    POSITIVE LOGITS
     Eugene
    1.35
     Cornel
    0.92
     Gree
    0.90
     Everett
    0.88
     Nikola
    0.87
    lectic
    0.84
     McCoy
    0.83
     Pierce
    0.82
     Roz
    0.81
     Vernon
    0.80
    Activations Density 0.009%

    No Known Activations