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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. 10-RES-JB
    11. 17461
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    Explanations

    ingredients and cooking instructions

    oai_token-act-pair · gpt-3.5-turbo

    ingredients and cooking instructions in recipes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¨ãĥ«
    -0.67
    \">
    -0.64
    rians
    -0.62
    Site
    -0.61
    geries
    -0.61
     headlined
    -0.59
     AUTH
    -0.59
    fit
    -0.58
    prototype
    -0.57
    landish
    -0.57
    POSITIVE LOGITS
     mixture
    1.26
     ingredients
    0.99
     flakes
    0.98
     powder
    0.91
     vinegar
    0.91
     paste
    0.91
     Instructions
    0.91
     Directions
    0.88
     mix
    0.87
    Ingredients
    0.86
    Activations Density 0.100%

    No Known Activations