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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. 6-RES-JB
    11. 9623
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    Explanations

    mentions of specific food items

    oai_token-act-pair · gpt-3.5-turbo

    food-related terms and dishes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     seism
    -0.80
     defect
    -0.76
     Telecommunications
    -0.76
     Aerospace
    -0.72
     Weld
    -0.68
     Falk
    -0.67
     EEG
    -0.67
     anomal
    -0.66
     FAA
    -0.66
     Moff
    -0.65
    POSITIVE LOGITS
     noodles
    1.11
     cakes
    1.08
     meal
    1.08
    cake
    1.07
     dough
    1.06
    Ingredients
    1.05
     Soup
    1.05
     sauce
    1.04
     recipe
    1.03
     sandwiches
    1.03
    Activations Density 0.160%

    No Known Activations