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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. 12-RES-JB
    11. 4055
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    Explanations

    phrases related to describing and highlighting the benefits of certain foods

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    details related to cooking times and ingredients in recipes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    channelAvailability
    -0.76
     fuzz
    -0.75
    DragonMagazine
    -0.72
    mbuds
    -0.67
    aspers
    -0.66
    choes
    -0.65
    agnetic
    -0.63
     ali
    -0.63
     crypt
    -0.62
    ãĤ´
    -0.61
    POSITIVE LOGITS
     Cook
    1.10
     Prep
    1.07
     Total
    1.04
     Ingredients
    1.03
     servings
    1.03
     Serv
    0.98
    Cook
    0.95
     Cooking
    0.94
    Total
    0.94
     Print
    0.89
    Activations Density 0.025%

    No Known Activations