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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 24536
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    Explanations

    steps or actions in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    actions related to cooking and food preparation

    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
    assetsadobe
    -0.73
    âĹ¼
    -0.68
    mpeg
    -0.68
    tnc
    -0.67
    resp
    -0.66
    天
    -0.62
    VID
    -0.62
    gotten
    -0.60
    gart
    -0.60
    utive
    -0.59
    POSITIVE LOGITS
     together
    1.11
     thoroughly
    1.07
     vigorously
    1.05
     evenly
    1.01
     until
    0.92
     ingred
    0.91
     gently
    0.91
     toget
    0.90
     ingredients
    0.87
     lightly
    0.86
    Activations Density 0.060%

    No Known Activations