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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. 2-RES-JB
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    Explanations

    references to winning or victories

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "wins" and its variations, indicating discussions of victories or successes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dwell
    -0.66
    uras
    -0.63
     spec
    -0.63
    ãģ®å®
    -0.62
    asus
    -0.62
    URA
    -0.62
    bia
    -0.61
    scape
    -0.61
     pree
    -0.60
    ñ
    -0.59
    POSITIVE LOGITS
    hips
    0.98
    paces
    0.94
    creen
    0.91
    heet
    0.87
    manship
    0.86
    hip
    0.86
    ettings
    0.84
    poons
    0.80
    inelli
    0.79
    terness
    0.78
    Activations Density 0.017%

    No Known Activations