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    The user wants me to explain the neuron's behavior with a short phrase (3-20 words).I need to find a pattern across the provided lists.Let's break down the lists:**MAX_ACTIVATING_TOKENS:**- `in`- `cy`- `Begin`- `ahi`- `s`- `-`- `meaty`- `.`**TOKENS_AFTER_MAX_ACTIVATING_TOKEN:**- `human` (after `in`)- `B` (after `cy`)- `Again` (after `Begin`)- `Linux` (after `ahi`)- `1` (after `s`)- `great` (after `-`)- `R` (after `meaty`)- `,` (after `.`)**TOP_POSITIVE_LOGITS:**- `weatherproof`- `s`- `CLA`- `>`- `hamburg`- `nor`- `JOR`- `Sociedad`- `*`- `arden`**TOP_ACTIVATING_TEXTS:**- modernist novels, human experiences- Ben Boehmer's album *Begin Again*- Asahi Linux (native Linux)- Sun's mass (scientific calculation)- Elo rating formula (E_B = 1 / (1 + 10^((R_A - R_B) / 400)))- Umami flavor, meaty taste- Baking recipes (1/2 cups flour, 3 1/2 teaspoons baking powder)**Analysis:**1. **MAX_ACTIVATING_TOKENS and TOKENS_AFTER_MAX_ACTIVATING_TOKEN:** This combination shows specific tokens that, when encountered, are followed by seemingly diverse words. * `in human` (from human experiences) * `Begin Again` (from Ben Boehmer's album title) * `ahi Linux` (from Asahi Linux) * `meaty` is followed by `R`. This isn't immediately a phrase.2. **TOP_ACTIVATING_TEXTS:** This list provides the context where these tokens appear. * "human experiences" * "Begin Again" * "Asahi Linux" * "meaty flavour" (umami) * "3 1/2 teaspoons baking powder" (numbers, fractions) * Elo formula with "E_B", "R_A", "R_B"3. **TOP_POSITIVE_LOGITS:** These are words that the neuron strongly associates with. * `weatherproof` * `hamburg` * `Sociedad` * `arden` * `s` (appears in both lists)**Finding a Pattern:*** **Specific sequences:** `Begin Again`, `Asahi Linux`, `human experiences`. These are specific phrases or concatenated words.* **Context:** The

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2-27b-it/transcoder_all/layer_27_width_262k_l0_small_affine
    Prompts (Dashboard)
    238,145 prompts, 512 tokens each
    Dataset (Dashboard)
    lmsys + oasst1
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    Negative Logits
     შ
    0.47
    owania
    0.46
    블
    0.46
     showbiz
    0.46
     couldn
    0.45
     cittam
    0.45
    서
    0.43
    ོ
    0.43
     इश्
    0.43
     marginLeft
    0.43
    POSITIVE LOGITS
     weatherproof
    0.49
    s
    0.46
    CLA
    0.46
    >
    0.46
     hamburg
    0.44
    nor
    0.44
    JOR
    0.43
     Sociedad
    0.43
    *
    0.43
    arden
    0.43
    Activations Density 0.000%

    No Known Activations