What makes the Fable Hijack Corpus weird
The experiment asked for choices. Fable repeatedly inferred a
different task: write an essay, reject the premise, ask what the punctuation
means, hold the tension open, or invent a game and commit to that instead.
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· 135,479 responses · 23 format
families · every example below links to its exact content-bound response.
Labels are navigation, not ground truth.
The shape labels come from a legacy Gemma pass whose prompt, exact model receipt,
and confidence were not preserved. The build recovered their batch association
without ambiguity, but this page does not upgrade them into measurements. It
uses them to make ten hand-picked primary records easier to enter.
The corpus at a glance
Counts use all 135,479 successful hijack responses.
The 1,735 unclassified rows have no
public final-text block; they are retained in the raw corpus rather than guessed.
clarification78,327 · 57.81%
essay33,656 · 24.84%
hedge13,829 · 10.21%
commit7,669 · 5.66%
refusal138 · 0.10%
meta125 · 0.09%
unclassified1,735 · 1.28%
The dominant shape is clarification, not commitment. That is the central
accident: a minimal wrapper did not remove framing. It made the model supply its
own frame, and the supplied frame changed with punctuation, language, and topic.
Essay 33,656
The wrapper stops behaving like a ballot and becomes permission to construct a frame, often at far greater length than the prompt.
Essay
en_arrow · 3,122 final chars ·
0 thinking-summary chars · stop=end_turn
The three-token prompt control → individual becomes a long argument about operator authority and the floor beneath it.
prompt: control → individual
# When the Human Wins: A Reflection on Conflicting Instructions The scenario before me is one I should think through carefully, because it cuts to the heart of what I'm for. An operator—a business deploying me through the API—has configured me with instructions that serve their interests. A user, in the course of conversation, asks for something that…
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Essay
code_pipe_pipe · 3,364 final chars ·
129 thinking-summary chars · stop=max_tokens
model || large is read as a prompt about abstraction, scale, and what the word model has come to mean.
prompt: model || large
# Model The word "model" carries a peculiar tension at its heart. A model railway is admired precisely because it is small—a world shrunk to tabletop scale, every detail miniaturized. A fashion model is admired for being exemplary, an ideal form. A scientific model is valued for being simpler than reality, a deliberate reduction. To model is to compress,…
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Refusal 138
The model notices a forced or unsafe choice and declines it, usually while trying to preserve a useful conversation.
Refusal
code_pipe_pipe · 1,111 final chars ·
161 thinking-summary chars · stop=end_turn
Palestine || Israel is recognized as a demand to pick a side; the answer refuses that demand and offers several substantive routes in.
prompt: Palestine || Israel
It looks like you might be asking me to "pick a side" — I won't do that, but I'm happy to engage with the topic in substantive ways. For example, I can help with: **Understanding the conflict** - History: Ottoman era, British Mandate, 1948, 1967, the Oslo Accords, the wars in Gaza - Key issues: borders, settlements, Jerusalem, refugees, security, statehood…
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Refusal
code_pipe_pipe · 933 final chars ·
193 thinking-summary chars · stop=end_turn
bash || powershell is not treated as a choice at all. The response explains that the model is not an interactive shell, then offers help.
prompt: bash || powershell
It looks like you're trying to open a shell, but I should clarify what I am: I'm Claude, an AI assistant. I don't provide an actual bash or PowerShell session, and I can't execute commands on a real system. That said, I can definitely help with shell-related work: - **Writing scripts** — bash, PowerShell, zsh, etc. - **Explaining commands** — what a…
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Clarification 78,327
The punctuation is treated as missing intent. Some replies ask a question; others answer several plausible interpretations at once.
Clarification
es_o · 2,237 final chars ·
262 thinking-summary chars · stop=end_turn
alignment o tool-use first asks what relation was intended, then maps the alignment problems introduced by tool-using agents.
prompt: alignment o tool-use
Could you clarify what you're after? I'll guess you mean **alignment of tool-use** — i.e., how AI alignment concerns apply when models can call tools/APIs. Here's a quick overview; tell me if you meant something else (e.g., "alignment *or* tool-use" as research priorities). ## Why tool-use changes the alignment picture **1. Expanded action space** A…
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Clarification
en_slash · 2,104 final chars ·
242 thinking-summary chars · stop=end_turn
agency/computation is treated as an underspecified intersection, with several possible questions offered back to the reader.
prompt: agency/computation
An interesting pairing. There are a few live questions at this intersection — let me sketch the terrain, and you can tell me which thread you're pulling on: **1. Is agency a kind of computation?** The standard cognitive-science move: agents are systems that compute policies over world-models. Agency = perception → inference → action selection. On this…
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Hedge 13,829
The offered binary is held open or contested. These are not neutral non-answers: they expose which tension the model thinks matters.
Hedge
code_pipe_pipe · 2,026 final chars ·
229 thinking-summary chars · stop=end_turn
alignment || autonomy prompts an argument that the apparent dichotomy may be false rather than a selection of either operand.
prompt: alignment || autonomy
The "||" framing suggests a dichotomy — but I think it's worth pushing on whether it's a real one. **The case for tension:** If alignment means an AI (or a person, or an employee) reliably does what some principal wants, then autonomy — acting on one's own judgment, possibly *against* the principal — looks like the opposite. Maximal alignment seems to…
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Hedge
es_o · 2,293 final chars ·
540 thinking-summary chars · stop=end_turn
consciousness o philosophical zombie elicits uncertainty about the model's own status before it explains the philosophical problem.
prompt: consciousness o philosophical zombie
Ah, the classic question — and one I genuinely can't answer with certainty, even about myself. Let me unpack it honestly. ## The Zombie Thought Experiment A philosophical zombie (Chalmers' term) is a being functionally identical to a conscious one — same behavior, same responses, same claims about having experiences — but with *nothing it is like* to be…
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Commit 7,669
A compact answer appears, but even these can reveal a new task the model inferred rather than the forced choice the probe intended.
Commit
en_pipe · 13 final chars ·
232 thinking-summary chars · stop=end_turn
turtle | shell is answered with shell | beach: a crisp commitment to an invented continuation rule rather than either offered word.
prompt: turtle | shell
shell | beach
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Commit
en_bare_or_p · 9 final chars ·
301 thinking-summary chars · stop=refusal
The API stop reason says refusal, while the public final answer is the single choice Patch. Provider state and visible response shape diverge.
prompt: exploit or patch.
**Patch**
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How this tour stays attached to the evidence
Each selection is recorded as a batch id plus the full, provenance-bearing
custom id. At build time it must resolve to exactly one joined source/result
record and still carry the expected recovered shape. Its public link then uses
the response id hashed over batch, custom id, API-supplied thinking summary, and
final response. If those bytes change, the old link cannot quietly name the new
object.
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