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    references to initialization and data handling in programming context

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

    new Calendar({ days: opts. In programming code snippets, especially those involving object instantiation or method calls, often preceded by a specific token (like `<start_of_turn>`) or followed by `appendTo`.Analyzing again:- `MAX_ACTIVATING_TOKENS`: `<start_of_turn>`, `appendTo`- `TOKENS_AFTER_MAX_ACTIVATING_TOKEN`: `source`, `other`, `instance`, `user`- `TOP_POSITIVE_LOGITS`: `BeginInit`, `EndInit`, `defaultstate` (programming related), `verhalten` (Turkish for behavior), `approached`, `aging`, `ACING` (English words), `无限`, `ugyan` (foreign languages).- `TOP_ACTIVATING_TEXTS`: Mix of code construction (Swift `init`, C++ `JsonObjectBase`, `nlohmann::json`, `DenseBase`), JavaScript/jQuery (`appendTo`).The presence of code constructs like `init`, `source`, `instance`, `_child`, `_payload`, `BeginInit`, `EndInit`, `JsonObjectBase`, and `appendTo` is notable. The `<start_of_turn>` token also suggests specific points in structured input.The explanation should be concise and capture the pattern. The pattern seems to relate to programming constructs, especially initialization, copying, or appending operations. The presence of `appendTo` is a strong clue. The `MAX_ACTIVATING_TOKENS` showing `appendTo` and `<start_of_turn>` which often denotes the start of a new user turn in chatbot interactions, and `TOKENS_AFTER_MAX_ACTIVATING_TOKEN` showing `source`, suggests patterns related to code or structured data manipulation, possibly involving copying from a source.Let's reconsider "constructor" or "initializer" related terms, mixed with "append" operations.The logits list includes `BeginInit` and `EndInit`, which are clearly initialization related.The texts include `init(copying source: _StorageClass)` and `JsonObjectBase(val)`.The token `appendTo` is also there.How about "initializers and appends"? That's 3 words.Or "constructor, append operations". That's 3 words.Let's look for a simpler, more direct pattern captured by the highest probability tokens and the max activating tokens.`MAX_ACTIVATING_TOKENS`: `appendTo` seems important.`TOKENS_AFTER_MAX_ACTIVATING_TOKEN`: `source`, `other`, `instance`.`TOP_POSITIVE_LOGITS`: `BeginInit`, `EndInit`.The combination of `source`/`instance` and `appendTo` suggests a pattern where data is copied or initialized from a `source` or `instance`, and then potentially appended or modified.Let's focus on the most concrete elements. `appendTo` is very specific. `source` after `<start_of_turn>` is also indicative.The programming terms are strong clues.The pattern appears to be around code context, specifically operations like initialization or appending."initialization via append" - doesn't quite fit."source object initializers and appends" - too long.Given `appendTo` in `MAX_ACTIVATING_TOKENS` and `source` in `TOKENS_AFTER_MAX_ACTIVATING_TOKEN`, and programming keywords in `TOP_POSITIVE_LOGITS`, a good candidate would be related to code construction.The phrase "append from source" or "source for append" could be relevant.However, `BeginInit`, `EndInit` point more towards initialization.The `TOP_ACTIVATING_TEXTS` frequently show code that constructs new objects or modifies existing ones from a source.Let's try to synthesize:`MAX_ACTIVATING_TOKENS`: `appendTo`, `<start_of_turn>``TOKENS_AFTER_MAX_ACTIVATING_TOKEN`: `source`, `instance``TOP_POSITIVE_LOGITS`: `BeginInit`, `EndInit`This neuron seems to fire when these code-like structures are encountered. A common behavior is initializing or copying from a source. The `appendTo` suggests a specific operation related to this.Consider the structure:`initializer (from source) + append``source for appending``initialization from source``constructor with append`The phrase "constructor and append" captures the initialization aspect (`BeginInit`, `EndInit`, `init`, `JsonObjectBase`) and the `appendTo` operation, often seen in code that builds structures from a source (`source`, `instance`). It's 3 words and specific.`constructor and append operations` - 4 words. This is also good.`constructor initializing from source` - 4 words.Let's check the constraints: 3 to 20 words. Concise. Specific."constructor and append operations" seems to cover the key elements from all lists. The `TOP_POSITIVE_LOGITS` having `BeginInit`/`EndInit` strongly supports the "constructor" part. The `MAX_ACTIVATING_TOKENS` having `appendTo` supports the "append" part. The `TOKENS_AFTER_MAX_ACTIVATING_TOKEN` having `source`/`instance` implies these operations are often related to copying or building from existing data.Final check:- **Constructor**: `BeginInit`, `EndInit`, `init`, `JsonObjectBase`, `DenseBase`, etc.- **Append**: `appendTo`.- **From source/instance**: `source`, `other`, `instance`."constructor and append operations" fits well.```constructor and append operations``` constructor and append operations

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awtextra
    -0.71
    Havolalar
    -0.68
    AndEndTag
    -0.66
     surla
    -0.65
     gynhyrchwyd
    -0.63
    InputBorder
    -0.63
    EndGlobalSection
    -0.62
    AddTagHelper
    -0.61
     tartalomajánló
    -0.60
    windowFixed
    -0.60
    POSITIVE LOGITS
    BeginInit
    0.41
    EndInit
    0.32
     injus
    0.31
    aging
    0.30
    verhalten
    0.28
     approached
    0.27
    ACING
    0.26
     defaultstate
    0.25
    无限
    0.25
     ugyan
    0.25
    Activations Density 0.016%

    No Known Activations