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    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 16-GEMMASCOPE-RES-16K
    6. 9714
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    Explanations

    terms related to salt and seasoning in food contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     planned
    -0.50
     onCreateView
    -0.48
    CGContext
    -0.45
     Vele
    -0.45
    diano
    -0.44
     Voy
    -0.44
    baiki
    -0.44
    edia
    -0.44
    alanta
    -0.43
     ExecuteAsync
    -0.43
    POSITIVE LOGITS
     salt
    1.27
    salt
    1.12
    Salt
    1.11
     Salt
    1.09
     salts
    1.06
     zout
    1.02
     Salts
    1.02
     SALT
    1.01
    Salty
    0.88
     Salty
    0.87
    Activations Density 0.131%

    No Known Activations