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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. 5-RES-JB
    6. 7905
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    INDEX
    Explanations

    quantitative information relating to things being reduced or decreased

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "fewer."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Draft
    -0.75
    MO
    -0.73
    Mut
    -0.72
    MAG
    -0.69
    SA
    -0.68
     Editor
    -0.67
    Lo
    -0.65
    agency
    -0.65
    ESE
    -0.65
    MD
    -0.64
    POSITIVE LOGITS
     than
    1.29
    than
    0.85
     Than
    0.83
     calories
    0.78
     digits
    0.75
     "$:/
    0.75
    cible
    0.73
     unwanted
    0.70
     bytes
    0.70
     manageable
    0.70
    Activations Density 0.013%

    No Known Activations