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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 7937
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    Explanations

    references to vehicles and their specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     agujas
    -0.36
     Sonata
    -0.30
     teacher
    -0.30
     飛
    -0.30
     lär
    -0.28
     Ed
    -0.28
    ülő
    -0.28
    getElementById
    -0.28
     reactor
    -0.28
     armon
    -0.27
    POSITIVE LOGITS
     offroad
    1.12
     Jeep
    0.97
     jeep
    0.93
    Jeep
    0.89
     mud
    0.85
    Mud
    0.84
     SUV
    0.82
     Mud
    0.81
    jeep
    0.80
     Off
    0.79
    Activations Density 0.230%

    No Known Activations