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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. 1668
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    Explanations

    phrases indicating justification or reason behind actions or statements

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

    "for" followed by a pronoun or adjective

    np_acts-logits-general · gemini-2.0-flash

    for followed by gerunds or nouns

    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
    Попис
    -0.38
    comuna
    -0.38
     دیکھیے
    -0.35
    pertino
    -0.35
    ◆◆
    -0.34
     DPRD
    -0.34
    vábbi
    -0.34
    SaveChangesAsync
    -0.34
    PyTuple
    -0.33
    XtraEditors
    -0.32
    POSITIVE LOGITS
     utafitiHapana
    0.54
    ftagPool
    0.53
    ptăm
    0.50
     što
    0.49
     being
    0.49
    Personensuche
    0.49
     having
    0.49
    LookAnd
    0.48
     poichè
    0.46
    atomy
    0.46
    Activations Density 0.195%

    No Known Activations