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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 43534
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    Explanations

    terms related to maintenance and wear in physical objects

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

    wear and tear

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ligiloj
    -0.58
    Microkernel
    -0.54
    principalColumn
    -0.49
    řad
    -0.44
    ніципалі
    -0.44
     henkil
    -0.43
     виправивши
    -0.42
     helicóptero
    -0.41
    chaqueta
    -0.40
     město
    -0.40
    POSITIVE LOGITS
     tear
    1.19
     Tear
    0.95
    tear
    0.88
    Tear
    0.79
     tearing
    0.66
     tears
    0.64
     Tears
    0.59
     teardown
    0.55
     damage
    0.53
     tore
    0.53
    Activations Density 0.001%

    No Known Activations