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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. 10-RES-JB
    6. 16758
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    Explanations

    combinations of letters that repeat or are near each other

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to small, intricate details or elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Demand
    -0.72
    orescence
    -0.72
    xual
    -0.70
    Accessory
    -0.69
     Awakening
    -0.69
    IUM
    -0.68
    Asia
    -0.67
    ources
    -0.65
    rio
    -0.64
    ORTS
    -0.64
    POSITIVE LOGITS
    bour
    1.01
    jee
    0.79
     gritty
    0.75
    minimum
    0.68
    pants
    0.67
     tumble
    0.67
     flour
    0.66
     pie
    0.64
    fit
    0.61
     bisc
    0.61
    Activations Density 0.097%

    No Known Activations