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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 5237
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    references to roadways and transportation infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     resourceCulture
    -0.52
    WriteTagHelper
    -0.45
     Exacts
    -0.41
     personnelles
    -0.35
     становника
    -0.33
    studium
    -0.32
    nestjs
    -0.32
     trainers
    -0.32
     nomme
    -0.32
    Биография
    -0.31
    POSITIVE LOGITS
     roadway
    0.82
     infrastructure
    0.81
     roads
    0.79
     road
    0.78
     Roads
    0.74
    Roads
    0.73
     Infrastructure
    0.73
     roadways
    0.71
    infrastructure
    0.65
    Road
    0.65
    Activations Density 0.313%

    No Known Activations