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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 22-LLAMASCOPE-RES-32K
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    Explanations

    food items and their preparation methods

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 22-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L22R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     pancakes
    -0.16
     pudding
    -0.15
     Maiden
    -0.15
    .erb
    -0.15
    Cake
    -0.14
     Victorian
    -0.14
    meli
    -0.14
    erah
    -0.14
    ERA
    -0.14
    ocale
    -0.14
    POSITIVE LOGITS
     chips
    0.34
     Chips
    0.30
     snack
    0.30
     snacks
    0.29
     cris
    0.26
     chip
    0.26
     popcorn
    0.25
    chip
    0.23
     crackers
    0.23
     Crack
    0.23
    Activations Density 0.085%

    No Known Activations