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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 8452
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    Explanations

    references to semi-trucks and their components

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

    words and phrases related to trucks, trailers, and towing vehicles.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abetta
    -0.35
     türk
    -0.33
     شار
    -0.32
    InternalFrame
    -0.31
    cetamol
    -0.31
     pseudos
    -0.30
    ENCIES
    -0.30
     pitted
    -0.30
    ATIVO
    -0.30
    ivar
    -0.29
    POSITIVE LOGITS
     trailer
    1.63
     trailers
    1.48
     Trailer
    1.38
    trailer
    1.37
    Trailer
    1.31
     Trailers
    1.30
    TRAIL
    1.12
     towed
    1.06
     tráiler
    1.05
     towing
    1.00
    Activations Density 0.104%

    No Known Activations