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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. 3-RES-JB
    11. 648
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    Explanations

    pieces or parts

    oai_token-act-pair · gpt-3.5-turbo

    references to components or parts of a whole

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Predators
    -0.81
     Monitor
    -0.68
    989
    -0.62
    elsius
    -0.61
     colonel
    -0.59
     Leadership
    -0.58
     Answer
    -0.58
     chau
    -0.57
     climate
    -0.57
     Lawyers
    -0.57
    POSITIVE LOGITS
    meal
    1.58
     pieces
    1.03
    ngth
    0.92
     Pieces
    0.92
    uania
    0.88
    aws
    0.85
     piece
    0.84
    hots
    0.83
    glass
    0.79
    umen
    0.79
    Activations Density 0.016%

    No Known Activations