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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 12-RES-JB
    11. 2408
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    INDEX
    Explanations

    incidents where someone is caught in a negative situation

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    instances of being "caught" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ukong
    -0.77
    itzer
    -0.72
    study
    -0.71
     Towards
    -0.70
    inished
    -0.67
    utical
    -0.67
    imens
    -0.65
    idth
    -0.65
     Preferred
    -0.65
    cair
    -0.64
    POSITIVE LOGITS
     unprepared
    1.17
     stealing
    1.11
     cheating
    1.10
     unaware
    1.05
     sneaking
    1.04
     red
    0.95
     spying
    0.94
     committing
    0.94
     manipulating
    0.93
     up
    0.91
    Activations Density 0.053%

    No Known Activations