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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. 7-RES-JB
    11. 23373
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    Explanations

    references to kitchen items, particularly dishes and dishwashers

    oai_token-act-pair · gpt-3.5-turbo

    references to dishwashers and related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesota
    -0.72
     Armory
    -0.72
    Reviewer
    -0.68
    */(
    -0.67
     Ammunition
    -0.65
     ICC
    -0.64
    uments
    -0.62
    fram
    -0.62
    ovich
    -0.61
     Kindle
    -0.61
    POSITIVE LOGITS
    washer
    1.94
    washing
    1.10
    ware
    1.03
     dishes
    0.95
    cloth
    0.94
    stall
    0.92
    Ingredients
    0.90
    was
    0.87
     dish
    0.85
    bone
    0.84
    Activations Density 0.018%

    No Known Activations