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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. 3-RES-JB
    11. 6899
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    Explanations

    information related to nutrition and healthy eating

    oai_token-act-pair · gpt-3.5-turbo

    references to healthy eating and nutritional information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tuc
    -0.76
     Siem
    -0.74
     Customs
    -0.71
     Naval
    -0.71
     Corrections
    -0.69
     MLG
    -0.68
     Pon
    -0.68
    Untitled
    -0.68
     awarding
    -0.67
     Moor
    -0.67
    POSITIVE LOGITS
     diet
    1.08
    ohydrate
    1.01
     diets
    1.01
    isine
    1.00
     calories
    0.99
     Calories
    0.97
     foods
    0.96
     nutrition
    0.96
     lifestyle
    0.94
    rition
    0.94
    Activations Density 0.184%

    No Known Activations