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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. 20088
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    Explanations

    ingredients and measurements in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    components and measurements of food or ingredient lists

    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
     Exhibit
    -0.72
    href
    -0.66
     Gund
    -0.66
     derog
    -0.66
     fences
    -0.65
     USAF
    -0.63
    éĸ
    -0.63
    tnc
    -0.62
    represented
    -0.62
     retrospective
    -0.62
    POSITIVE LOGITS
     mixture
    0.89
    akia
    0.78
    Ingredients
    0.78
     cloves
    0.76
     cinnamon
    0.76
     ingredients
    0.75
     garlic
    0.75
     sweetness
    0.74
     flakes
    0.73
     tsp
    0.73
    Activations Density 0.128%

    No Known Activations