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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. 10-RES-JB
    11. 12691
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    Explanations

    mentions of household items related to kitchen and cooking activities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific types of household appliances, particularly dishwashers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chase
    -0.72
     Jed
    -0.70
     Armory
    -0.66
     HRC
    -0.65
    */(
    -0.65
     Ammunition
    -0.65
    vernment
    -0.64
     APR
    -0.63
     ABE
    -0.61
     SAP
    -0.61
    POSITIVE LOGITS
    washer
    1.95
    washing
    1.25
    ware
    1.09
    Ingredients
    1.03
    cloth
    1.01
    stall
    0.97
    was
    0.96
     dishes
    0.94
    bone
    0.88
    bowl
    0.87
    Activations Density 0.035%

    No Known Activations