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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 3732
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    Explanations

    references to vehicles and their associations during a sequence of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Types of vehicles

    np_acts-logits-general · gemini-2.0-flash

    vehicles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     zimowa
    -0.44
     Obrador
    -0.43
     uważ
    -0.42
    ValueStyle
    -0.41
    StandardCharsets
    -0.40
    CardBody
    -0.40
    tagHelperRunner
    -0.40
     expir
    -0.40
    Билгалдахарш
    -0.40
    esModule
    -0.40
    POSITIVE LOGITS
     vehicles
    0.65
     vehicle
    0.60
     rented
    0.53
    vehicles
    0.50
    StoryboardSegue
    0.49
     Vehicles
    0.47
     jeep
    0.47
     trucks
    0.47
     truck
    0.47
     squad
    0.46
    Activations Density 0.251%

    No Known Activations