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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. 8-RES-JB
    11. 12315
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    INDEX
    Explanations

    mentions of advanced skills or expertise

    oai_token-act-pair · gpt-3.5-turbo

    references to skills and abilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Reloaded
    -0.80
    romeda
    -0.79
     Manz
    -0.75
     Franz
    -0.67
     Amen
    -0.66
     Corinthians
    -0.66
     Wick
    -0.65
     EDITION
    -0.63
    emonium
    -0.63
     Rodham
    -0.62
    POSITIVE LOGITS
    anooga
    0.98
    ful
    0.95
    chery
    0.93
    learn
    0.92
    fully
    0.91
    poke
    0.87
     training
    0.86
    cape
    0.85
    training
    0.82
     proficiency
    0.81
    Activations Density 0.048%

    No Known Activations