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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. 9-RES-JB
    11. 20743
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    Explanations

    recipe ingredients and measurements

    oai_token-act-pair · gpt-3.5-turbo

    quantities and measurements related to cooking or recipes

    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
    rave
    -0.71
    successfully
    -0.68
    iqueness
    -0.68
    detail
    -0.64
    been
    -0.64
    alloc
    -0.63
    idays
    -0.63
    govtrack
    -0.61
    fm
    -0.61
    lived
    -0.60
    POSITIVE LOGITS
     teasp
    1.37
     teaspoon
    1.20
     tsp
    1.19
     tablespoon
    1.19
     cloves
    1.18
    ½
    1.18
     tbsp
    1.12
     tablespoons
    1.08
     garlic
    1.07
     teaspoons
    1.06
    Activations Density 0.049%

    No Known Activations