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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. 6470
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    INDEX
    Explanations

    ingredients or food items, particularly tomatoes

    oai_token-act-pair · gpt-3.5-turbo

    references to tomatoes or related terms

    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
    backer
    -0.80
    ly
    -0.71
     Wonderland
    -0.69
    lihood
    -0.63
     Sheen
    -0.61
    erness
    -0.61
    ees
    -0.60
    gra
    -0.60
     Palmer
    -0.59
    patrick
    -0.58
    POSITIVE LOGITS
    ography
    1.20
    ographical
    1.15
    ographic
    1.13
    ographers
    1.11
    ographies
    1.11
    ographed
    1.09
    astically
    1.09
    ograp
    1.07
    osite
    1.07
    ographs
    1.04
    Activations Density 0.110%

    No Known Activations