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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. 4-RES-JB
    11. 15398
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    Explanations

    descriptions of ingredients and instructions for recipes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of ingredients in recipes or cooking contexts

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

    No Comments

    Negative Logits
    thood
    -0.74
    vernment
    -0.73
    arton
    -0.72
    udeb
    -0.72
    roe
    -0.70
    geon
    -0.67
    agle
    -0.67
    iscopal
    -0.65
     Seg
    -0.64
    king
    -0.64
    POSITIVE LOGITS
     ingredients
    1.21
     ingredient
    1.08
    Ingredients
    0.99
     suppliers
    0.85
     ingred
    0.85
     supplier
    0.79
     additives
    0.76
    odium
    0.73
     meth
    0.73
     peel
    0.72
    Activations Density 0.013%

    No Known Activations