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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. 11-RES-JB
    11. 14642
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    Explanations

    instructions related to serving food

    oai_token-act-pair · gpt-3.5-turbo

    commands or instructions related to food preparation and serving

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Journals
    -0.86
     Aerospace
    -0.72
    Developer
    -0.66
    atron
    -0.65
     Catalyst
    -0.63
     Gamergate
    -0.62
     Investig
    -0.61
     Merchants
    -0.61
    æ©Ł
    -0.61
     Vance
    -0.60
    POSITIVE LOGITS
     salads
    1.28
     garn
    1.22
     salad
    1.20
     sandwiches
    1.16
     grilled
    1.14
     tacos
    1.14
     rehe
    1.10
     Dinner
    1.09
     cous
    1.09
     appet
    1.09
    Activations Density 0.211%

    No Known Activations