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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. 17726
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    Explanations

    nutritional information related to macros like protein, fat, carbohydrates, calories, and minerals

    oai_token-act-pair · gpt-3.5-turbo

    nutritional information in food or dietary content

    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
     seism
    -0.89
     Inspector
    -0.87
     Kafka
    -0.85
     Constable
    -0.82
     espionage
    -0.82
     bidding
    -0.81
     seismic
    -0.78
     Rosenstein
    -0.77
     wiret
    -0.75
     surve
    -0.75
    POSITIVE LOGITS
     carbohydrates
    1.77
     diet
    1.72
     carbs
    1.67
     calories
    1.64
     nutrients
    1.62
     foods
    1.60
     diets
    1.60
     fats
    1.60
     nutritional
    1.59
     carbohydrate
    1.58
    Activations Density 0.569%

    No Known Activations