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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. 9-RES-JB
    11. 17881
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to skills and expertise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Manz
    -0.80
     Reloaded
    -0.77
    romeda
    -0.77
     Franz
    -0.69
     Amen
    -0.69
     Corinthians
    -0.68
     Wick
    -0.67
     Franch
    -0.65
     EDITION
    -0.64
    idays
    -0.63
    POSITIVE LOGITS
    ful
    1.01
    fully
    0.97
    anooga
    0.94
    learn
    0.91
    chery
    0.89
     proficiency
    0.89
     training
    0.88
    cape
    0.86
    ets
    0.83
     skills
    0.83
    Activations Density 0.053%

    No Known Activations