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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 8893
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    terms related to roads and road infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dourado
    -0.46
     sanitaria
    -0.42
     Grüsse
    -0.41
     löyty
    -0.41
    fört
    -0.41
     Gesundheit
    -0.41
     encaje
    -0.40
     sobremesa
    -0.39
     sıra
    -0.39
     onOptions
    -0.39
    POSITIVE LOGITS
    Road
    0.65
    ########.
    0.64
     Road
    0.62
     road
    0.59
    blocks
    0.55
    trip
    0.55
     traveled
    0.54
     Normdatei
    0.52
     ROAD
    0.52
     pavement
    0.52
    Activations Density 0.059%

    No Known Activations