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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. 8-RES-JB
    6. 22902
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    INDEX
    Explanations

    measurements or quantifiable units

    oai_token-act-pair · gpt-3.5-turbo

    references to units of measurement or military units

    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
    vous
    -0.74
    fter
    -0.73
    issance
    -0.70
    lli
    -0.69
    aukee
    -0.67
    cape
    -0.67
     acknow
    -0.65
     volunt
    -0.65
    lla
    -0.65
    byss
    -0.65
    POSITIVE LOGITS
    mate
    0.99
    mates
    0.95
    ary
    0.89
    aries
    0.85
    arily
    0.81
    agers
    0.80
    rity
    0.78
    aged
    0.78
    imet
    0.77
     units
    0.77
    Activations Density 0.031%

    No Known Activations