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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. 17240
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    Explanations

    ingredients and recipe quantities in a cooking recipe

    oai_token-act-pair · gpt-3.5-turbo

    quantitative measurements and ingredients in cooking or baking contexts

    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
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    Negative Logits
     exha
    -0.76
     citiz
    -0.74
     newcom
    -0.72
    aditional
    -0.71
    hement
    -0.71
     undermin
    -0.69
     eleph
    -0.68
    ortunately
    -0.67
    isSpecial
    -0.64
     endorsements
    -0.63
    POSITIVE LOGITS
    ³³³³³³³³³³³³³³³³
    1.00
    ³³³
    0.92
    ³³³³
    0.90
    ↵
    0.88
    ³³³³³³³³
    0.86
    Method
    0.77
    ½
    0.74
    Optional
    0.74
    sudo
    0.71
    Sea
    0.71
    Activations Density 0.077%

    No Known Activations