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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. 10240
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    Explanations

    ingredients and cooking steps for recipes

    oai_token-act-pair · gpt-3.5-turbo

    culinary ingredients and cooking techniques

    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
     seism
    -0.83
    Privacy
    -0.73
    Student
    -0.72
    Weapons
    -0.71
     recru
    -0.71
    Technical
    -0.71
     Gamergate
    -0.69
     Inspector
    -0.69
    Veh
    -0.68
     Surveillance
    -0.68
    POSITIVE LOGITS
    berries
    1.15
     berries
    1.15
     yeast
    1.15
     spices
    1.14
     tomatoes
    1.13
     yogurt
    1.11
     herbs
    1.10
     pumpkin
    1.08
     vinegar
    1.08
     coconut
    1.08
    Activations Density 0.286%

    No Known Activations