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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 11550
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    Explanations

    references to various types of vegetables and fruits in dietary contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tripp
    -0.46
     Sloane
    -0.43
     Fitzgerald
    -0.43
     authority
    -0.43
     impact
    -0.42
     Larson
    -0.42
     tiegħ
    -0.41
     Miranda
    -0.41
     Flanagan
    -0.41
     Hurricane
    -0.41
    POSITIVE LOGITS
    Vegetables
    1.02
    Vegetable
    1.01
    vegetable
    0.99
     Vegetables
    0.98
     vegetable
    0.98
     vegetables
    0.98
     Vegetable
    0.96
    vegetables
    0.96
     veggies
    0.91
     vegetarian
    0.82
    Activations Density 0.070%

    No Known Activations