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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 8184
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    INDEX
    Explanations

    critical assessments of performance in films

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

    Adjectives describing quality or performance

    np_acts-logits-general · gemini-2.0-flash

    positive quality descriptors

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     myſelf
    -0.54
     Jefus
    -0.45
     houſe
    -0.44
    ſelves
    -0.43
     ſta
    -0.42
    alimentation
    -0.41
     remercie
    -0.40
     JpaRepository
    -0.40
    ตอบ
    -0.39
    Training
    -0.39
    POSITIVE LOGITS
    AnchorStyles
    0.53
     wireType
    0.50
     ModelExpression
    0.46
    hyrchwyd
    0.46
    ✷
    0.45
    PyErr
    0.44
    ValueStyle
    0.42
     становника
    0.42
     superb
    0.42
     δ
    0.41
    Activations Density 0.536%

    No Known Activations