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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. 0-RES-JB
    11. 22639
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    Explanations

    food-related words and activities to do with cooking

    oai_token-act-pair · gpt-3.5-turbo

    mentions of cooking and related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Byrne
    -0.84
    ilateral
    -0.82
    AAA
    -0.74
    stro
    -0.73
     Regions
    -0.71
     Umb
    -0.68
     Astral
    -0.66
    umen
    -0.64
    rium
    -0.64
     Reeves
    -0.64
    POSITIVE LOGITS
     cook
    3.87
     cooks
    2.46
    cook
    2.44
     cooking
    2.27
     cooker
    2.12
    Cook
    2.09
     Cook
    2.05
     bake
    1.92
     Cooking
    1.91
     chef
    1.91
    Activations Density 0.024%

    No Known Activations