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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 8038
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    Explanations

    references to types and qualities of meat in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    meat (beef, pork, steaks)

    np_acts-logits-general · gemini-2.0-flash

    meat, beef, and animal production

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     kopling
    -0.43
    coaster
    -0.41
    bnf
    -0.41
     Numerade
    -0.41
     Sache
    -0.40
     gempa
    -0.40
    phorbia
    -0.39
     alfabe
    -0.39
     spelar
    -0.39
     occhiali
    -0.39
    POSITIVE LOGITS
     meat
    1.66
     Meat
    1.44
    Meat
    1.40
     beef
    1.38
     MEAT
    1.31
    meat
    1.30
     meats
    1.25
     Beef
    1.24
     daging
    1.21
    Beef
    1.19
    Activations Density 0.212%

    No Known Activations