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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. 1584
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    Explanations

    ingredients in recipes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of food items and ingredients

    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
    Privacy
    -0.95
    Filename
    -0.84
    CLASSIFIED
    -0.82
    ewitness
    -0.81
    Site
    -0.77
    Contract
    -0.76
    Student
    -0.76
    Investigators
    -0.76
    Interface
    -0.75
     Institution
    -0.75
    POSITIVE LOGITS
     tomatoes
    1.47
     vegetables
    1.45
     carrots
    1.45
     potatoes
    1.43
     beans
    1.42
     strawberries
    1.41
     grapes
    1.41
     almonds
    1.41
     berries
    1.41
     oats
    1.40
    Activations Density 0.209%

    No Known Activations