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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. 11-RES-JB
    11. 12435
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    Explanations

    ingredients and cooking instructions in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    culinary actions and ingredients in cooking instructions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Topic
    -0.84
    Compar
    -0.72
    FontSize
    -0.69
    uristic
    -0.68
    dayName
    -0.67
    Site
    -0.67
    Trend
    -0.67
    Public
    -0.67
     Replay
    -0.67
    acist
    -0.66
    POSITIVE LOGITS
     cinnamon
    1.15
     salt
    1.15
     vinegar
    1.15
     oats
    1.13
     almonds
    1.12
     milk
    1.11
     olive
    1.10
     spices
    1.10
     sugars
    1.10
     cocoa
    1.09
    Activations Density 0.060%

    No Known Activations