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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. 0-RES-JB
    6. 2910
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    INDEX
    Explanations

    mentions of the word "More" with emphasis

    oai_token-act-pair · gpt-3.5-turbo

    references to increased quantities or amounts, often indicating an enhancement or additional content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iku
    -0.71
    keye
    -0.61
    opian
    -0.59
    tein
    -0.59
    anka
    -0.58
    rained
    -0.58
    ogene
    -0.57
     equilibrium
    -0.57
    itude
    -0.56
    onite
    -0.55
    POSITIVE LOGITS
     More
    3.10
    More
    1.99
     Less
    1.71
    more
    1.67
     MORE
    1.66
     Few
    1.42
     Further
    1.41
     Much
    1.36
    MORE
    1.32
     Nearly
    1.30
    Activations Density 0.015%

    No Known Activations