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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. 23958
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    INDEX
    Explanations

    words related to cooking instructions and food preparation

    oai_token-act-pair · gpt-3.5-turbo

    cooking instructions and methods

    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
     prostitutes
    -0.67
     retrospective
    -0.67
     Odyssey
    -0.67
     Norn
    -0.66
     derog
    -0.63
     anten
    -0.62
     informants
    -0.61
    grand
    -0.60
    quest
    -0.60
     successors
    -0.60
    POSITIVE LOGITS
     desired
    0.99
     consistency
    0.86
     dough
    0.85
     crust
    0.81
     mixture
    0.80
    atisf
    0.79
     finished
    0.77
     hardness
    0.77
     evenly
    0.76
     filling
    0.76
    Activations Density 0.149%

    No Known Activations