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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. 3-RES-JB
    11. 8865
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    Explanations

    references to kitchenware and food-related items, particularly dishes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "dish" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vernment
    -0.72
     Armory
    -0.71
    nesota
    -0.67
     Powers
    -0.65
    uments
    -0.64
     Hammond
    -0.64
    nyder
    -0.63
     Kindle
    -0.63
    ndum
    -0.62
     Kru
    -0.61
    POSITIVE LOGITS
    washer
    1.95
    washing
    1.25
     dishes
    1.09
     dish
    1.05
    ware
    1.02
    cake
    0.93
    was
    0.88
    stall
    0.87
    Ingredients
    0.86
    mates
    0.84
    Activations Density 0.009%

    No Known Activations