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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 12861
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    INDEX
    Explanations

    phrases indicating a high degree or extent of something

    oai_token-act-pair · gpt-3.5-turbo

    expressions of generality or vagueness

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ortmund
    -0.72
    20439
    -0.68
    TEXTURE
    -0.67
    DEBUG
    -0.67
    AMY
    -0.66
    Hart
    -0.65
    Bir
    -0.65
    GPU
    -0.64
    hawk
    -0.64
    odium
    -0.63
    POSITIVE LOGITS
     nailed
    0.94
     everything
    0.90
     everywhere
    0.89
     boils
    0.88
     summed
    0.87
    everything
    0.85
     identical
    0.83
     worthless
    0.82
     sums
    0.81
     unchecked
    0.78
    Activations Density 0.054%

    No Known Activations