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    complex IT"}, "late equalizer"}, "final destination"}, "any food"}, "lack"}, "Code"}, "is a"}, "this dynamic"}, "number 6"}, "number 8"}). The top positive logits are "heids", "を持", "insider", "embezzlement", "insiders", "опубли", "፡", "Т", "sclerosis", "egot".The common theme appears to be elements related to structured information, specific details within a domain (like IT projects, finance, or rules), and sequences or qualifiers.Let's look at pairs of MAX_ACTIVATING_TOKEN and TOKENS_AFTER_MAX_ACTIVATING_TOKEN:- `complex` -> `IT` (complex IT projects)- `late` -> `equalizer` (grabbed a late equalizer)- `final` -> `destination` (my final destination)- `any` -> `food` (catch any food particles)- `is` -> `a` (This is a common token pair, but the context of texts is important)- `Code` -> not directly paired with a strong token in TOKENS_AFTER_MAX_ACTIVATING_TOKEN, but UK Corporate Governance Code is mentioned.- `6` -> `food` (Hmm, the text says "catch any food particles before they clog your pipes", `6` is not directly in that sentence. Let's recheck. There is "6" in MAX_ACTIVATING_TOKENS. The first text says "some larger departments, have limited opportunity and need to develop the internal operations necessary to effectively complete complex IT projects." It doesn't seem to directly correlate with 6 or 8. Let's look closer at the texts that contain `6` or `8`. The `TOP_ACTIVATING_TEXTS` contain "6" and "8" implicitly associated with token values like "MAX_ACTIVATING_TOKENS" and "TOKENS_AFTER_MAX_ACTIVATING_TOKEN".- "MAX_ACTIVATING_TOKENS": complex, -, Code, late, is, the, final, 6, any, to- "TOKENS_AFTER_MAX_ACTIVATING_TOKEN": IT, time, ., equalizer, a, lack, destination, 8, food, beThe texts show these links:- complex IT- late equalizer- final destination- any food- 6 (This seems to be a number itself, maybe associated with quantity or a specific item number, but the `TOKENS_AFTER_MAX_ACTIVATING_TOKEN` has '8' and 'food' after 'any'. This is confusing. specific sequences

    np_acts-logits-general · gemini-2.5-flash-lite

    chemical, security, physical phenomena

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
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    google/gemma-scope-2-27b-pt/resid_post/layer_31_width_262k_l0_medium
    Prompts (Dashboard)
    392,802 prompts, 256 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
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    Negative Logits
    are
    0.46
    ūsų
    0.46
    Stuart
    0.45
    기를
    0.45
    장은
    0.45
    icots
    0.44
     bụng
    0.44
    학교
    0.44
    ží
    0.43
     école
    0.43
    POSITIVE LOGITS
    heids
    0.50
    を持
    0.47
     insider
    0.47
     embezzlement
    0.46
     insiders
    0.45
     опубли
    0.44
    ፡
    0.43
     Т
    0.43
     sclerosis
    0.42
     egot
    0.42
    Activations Density 0.000%

    No Known Activations