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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. 21218
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    quantities and measurements in recipes

    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
    iqueness
    -0.81
    videos
    -0.75
    abilities
    -0.73
    projects
    -0.72
    paralle
    -0.67
    Games
    -0.66
    ophob
    -0.66
     sights
    -0.65
    relevant
    -0.64
    alloc
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    POSITIVE LOGITS
     tablespoon
    1.42
     teaspoon
    1.40
     tsp
    1.36
     teasp
    1.35
     tbsp
    1.31
    ½
    1.20
     gallon
    1.17
     ounce
    1.17
     cup
    1.13
     garlic
    1.09
    Activations Density 0.028%

    No Known Activations