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    crucially, circular, 1 for**Explanation Process:**1. **Analyze `MAX_ACTIVATING_TOKENS`**: I see `crucially`, `ing`, `get`, `sum`.2. **Analyze `TOKENS_AFTER_MAX_ACTIVATING_TOKEN`**: I see `circular`.3. **Analyze `TOP_POSITIVE_LOGITS`**: I see words like `边界` (boundary), `层` (layer), `窗` (window), `树` (tree), `浓度` (concentration), which suggest abstract or conceptual elements. Also `lặng` (Vietnamese for silent) and `缓` (slow) hint at states or processes.4. **Analyze `TOP_ACTIVATING_TEXTS`**: * "crucially, create the vibrant patterns" - Connects `crucially` to descriptions. * "Think of it like waves in water: If you drop a pebble into a calm pond, you get circular waves." - Highlights `circular`. * "1 for forward, -1 for backward" - Suggests directional/numeric values, or states. * "response. This", "response or a pointer" - Suggests functions or continuations. * "boundary, border", "layer", "window", "tree" - These are concrete or abstract nouns, fitting with the logits. * The presence of `1 for forward, -1 for backward` is a strong candidate for a specific pattern. It's a common way to represent direction or state. * `crucially` and `circular` are also present.5. **Synthesize Patterns**: * The `MAX_ACTIVATING_TOKENS` list has `crucially`. The text confirms its use in descriptive sentences. It also has `ing` and `get`, common English verb suffixes. * The `TOKENS_AFTER_MAX_ACTIVATING_TOKEN` list has `circular`. The text provides an example of `circular` waves. * The `TOP_ACTIVATING_TEXTS` contain phrases like "1 for forward, -1 for backward", which is a clear pattern of alternating states or directions often found in computational contexts or simple instructions. * The `TOP_POSITIVE_LOGITS` contain abstract concepts or elements (layers, boundaries, concentration) that could be parameters or results of such patterns.6. **Formulate Explanation**: The most specific and recurring pattern is the representation of states or directions (e.g., "1 for forward, -1 for backward"). `crucially` and `circular` also appear but seem secondary to the more structural pattern. The prompt asks for finding patterns. "1 for forward, -1 for backward" is a strong example of a pattern the neuron might recognize. The prompt also allows for explanations like "tokens following or preceding certain tokens".Considering `MAX_ACTIVATING_TOKENS` contains `crucially` and `TOKENS_AFTER_MAX_ACTIVATING_TOKEN` contains `circular`, and also noting the phrase "1 for forward, -1 for backward" in the texts, a good summary would combine these.Let's try to combine elements:- `crucially` appears in MAX_ACTIVATING_TOKENS and TTA.- `circular` appears in TOKENS_AFTER_MAX_ACTIVATING_TOKEN.- The text "1 for forward, -1 for backward" is very specific.The phrase "1 for forward, -1 for backward" is very direct and descriptive of a pattern. However, the example output `crucially, circular, 1 for` indicates that the desired output might be a *collection* of prominent tokens/words from the lists that, together, suggest the pattern.Looking at `MAX_ACTIVATING_TOKENS`: `crucially`, `ing`.Looking at `TOKENS_AFTER_MAX_ACTIVATING_TOKEN`: `circular`.Looking at `TOP_ACTIVATING_TEXTS`: "1 for forward, -1 for backward". This implies the neuron is interested in this structure.The provided answer format in the example output suggests listing key terms found in the `MAX_ACTIVATING_TOKENS` and `TOKENS_AFTER_MAX_ACTIVATING_TOKEN`. Let's re-evaluate based on extracting prominent items that might define a pattern implicitly.`MAX_ACTIVATING_TOKENS`: `crucially`, `ing`, `get`.`TOKENS_AFTER_MAX_ACTIVATING_TOKEN`: `circular`.The example output is `crucially, circular, 1 for`.- `crucially` is from `MAX_ACTIVATING_TOKENS`.- `circular` is from `TOKENS_AFTER_MAX_ACTIVATING_TOKEN`.- `1 for` is derived from "1 for forward, -1 for backward" in `TOP_ACTIVATING_TEXTS`.This suggests a hybrid approach: pick key words from the token lists, and also extract significant phrases or beginnings of phrases from the text that represent a pattern. The phrase "1 for forward, -1 for backward" clearly indicates a pattern of binary states or numerical mapping.Final selection:- `crucially` (from `MAX_ACTIVATING_TOKENS`)- `circular` (from `TOKENS_AFTER_MAX_ACTIVATING_TOKEN`)- "1 for" (start of a pattern defining states/directions in `TOP_ACTIVATING_TEXTS`)These three elements together hint at describing states (1 for), spatial/conceptual relationships (circular), and the importance of these descriptions (crucially).The ideal output is a short phrase (3-20 words). "crucially, circular, 1 for" fits this.It is important to note that the explanation should *not

    np_acts-logits-general · gemini-2.5-flash-lite
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    Prompts (Dashboard)
    392,802 prompts, 256 tokens each
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    Negative Logits
     ARI
    0.44
     scholarship
    0.43
     decembrie
    0.41
     ayuda
    0.39
     Scholarship
    0.39
     specialists
    0.39
     october
    0.39
     scholastic
    0.38
     BAH
    0.38
    рактери
    0.38
    POSITIVE LOGITS
     lặng
    0.54
    层
    0.54
    层面
    0.53
    缓
    0.52
    什么是
    0.51
    钉
    0.51
    일
    0.49
    那
    0.48
    就是
    0.48
    边界
    0.48
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.