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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. 5485
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    Explanations

    instructions for adding ingredients and preparing food

    oai_token-act-pair · gpt-3.5-turbo

    commands or instructions related to adding ingredients in a recipe

    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
    Merit
    -0.82
    park
    -0.67
     voic
    -0.67
    DEM
    -0.67
    2019
    -0.66
     careers
    -0.65
     Fore
    -0.63
    Robin
    -0.63
     redes
    -0.62
     Hilbert
    -0.62
    POSITIVE LOGITS
     antioxidant
    0.89
     powdered
    0.87
     ingestion
    0.87
     ingredients
    0.86
    redients
    0.86
     roasted
    0.86
     chlorine
    0.85
     dehyd
    0.84
     moisture
    0.84
     liquids
    0.83
    Activations Density 0.082%

    No Known Activations