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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. 11240
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    Explanations

    terms and concepts related to health conditions, particularly metabolic disorders and their physiological effects

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

    Word followed by "was" or "are"

    np_acts-logits-general · gemini-2.0-flash

    patterns of specific tokens and their followers

    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
     Normdatei
    -0.56
     للمعارف
    -0.43
     woken
    -0.43
    iprot
    -0.41
    copal
    -0.40
     newOwner
    -0.38
     mijne
    -0.38
    ubes
    -0.38
    UDES
    -0.38
    GLO
    -0.37
    POSITIVE LOGITS
    bootstrapcdn
    0.56
     factors
    0.50
    anmoins
    0.49
    AddTagHelper
    0.48
     CreateTagHelper
    0.46
    MessageTagHelper
    0.45
     cjs
    0.43
    WriteTagHelper
    0.42
    很重要
    0.41
    Hozzáférés
    0.40
    Activations Density 0.768%

    No Known Activations