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    2. Julius Han · Gated SAE for Llama3-8B-Instruct
    3. Llama3-8B-IT
    4. Residual Stream
    5. 25-RES-JH
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    concepts related to learning and personal growth through experience

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    Juliushanhanhan/llama-3-8b-it-res/blocks.25.hook_resid_post
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    gated
    Context Size
    1,024
    Dataset
    Juliushanhanhan/openwebtext-1b-llama3-tokenized-cxt-1024
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    osity
    -0.14
    ÑĮв
    -0.14
    æ´¥
    -0.14
    ós
    -0.14
     ëĦ¤ìĿ´íĬ¸
    -0.13
    thur
    -0.13
    chu
    -0.13
    λιά
    -0.13
     wÅĤa
    -0.13
    Äįan
    -0.13
    POSITIVE LOGITS
     learn
    0.42
     learning
    0.42
     learns
    0.37
    learn
    0.37
     Learn
    0.36
    Learn
    0.36
    -learning
    0.35
     Learning
    0.33
    learning
    0.33
     gain
    0.31
    Activations Density 0.103%

    No Known Activations