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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. 14315
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    Explanations

    recipes and food-related content

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and spacing in the text

    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
     arbitration
    -0.81
     unmanned
    -0.80
     patrols
    -0.79
     probation
    -0.78
     resumes
    -0.74
     referees
    -0.74
     fuzz
    -0.73
     contractual
    -0.73
     tele
    -0.72
     ACL
    -0.72
    POSITIVE LOGITS
    Ingredients
    1.80
    Recipe
    1.79
     Recipe
    1.50
     Ingredients
    1.47
    Nut
    1.31
     Delicious
    1.30
     Recipes
    1.18
     Vegan
    1.15
     Cooking
    1.15
     Directions
    1.11
    Activations Density 0.260%

    No Known Activations