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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. 8-RES-JB
    11. 8981
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    Explanations

    ingredients and cooking instructions in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    ingredients and cooking instructions in a recipe

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Privacy
    -0.72
    Site
    -0.72
    href
    -0.71
    Track
    -0.70
    folios
    -0.70
    HUD
    -0.69
    issue
    -0.66
    hare
    -0.65
    deal
    -0.65
    dq
    -0.65
    POSITIVE LOGITS
     ingredients
    1.20
     mixture
    1.20
     yeast
    1.15
     powdered
    1.11
     vinegar
    1.10
     spices
    1.09
     Ingredients
    1.07
     minced
    1.04
     almonds
    1.03
     flav
    1.03
    Activations Density 0.103%

    No Known Activations