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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. 1-RES-JB
    11. 20725
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    Explanations

    keywords related to ingredients in food and recipes

    oai_token-act-pair · gpt-3.5-turbo

    references to food ingredients

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    udeb
    -0.75
    roe
    -0.74
    vernment
    -0.66
    iscopal
    -0.65
     Bid
    -0.63
     Seg
    -0.63
     Brow
    -0.63
     Pug
    -0.63
    phasis
    -0.62
    agle
    -0.62
    POSITIVE LOGITS
     ingredients
    1.51
     ingredient
    1.31
     ingred
    1.14
    Ingredients
    1.13
     additives
    0.97
    redients
    0.96
     conco
    0.89
     Ingredients
    0.88
     additive
    0.86
     suppliers
    0.84
    Activations Density 0.011%

    No Known Activations