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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. 39
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    specific food items or references to eating experiences

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

    Tokens after a bracket

    np_acts-logits-general · gemini-2.0-flash

    bow and arrow

    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
     discorso
    -0.39
     impegno
    -0.38
    apture
    -0.36
     cappello
    -0.35
     Ansatz
    -0.35
     cucchiaio
    -0.35
     Capture
    -0.35
    hape
    -0.34
     путем
    -0.34
     Schloß
    -0.33
    POSITIVE LOGITS
    ंदीखरीदारी
    0.65
    󠁴
    0.61
    SequentialGroup
    0.57
    ⟬
    0.56
    曖昧さ回避
    0.53
    AndEndTag
    0.51
     intptr
    0.51
     كومونز
    0.51
     незавершена
    0.50
    VersionUID
    0.50
    Activations Density 0.445%

    No Known Activations