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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. 11-RES-JB
    11. 14743
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    Explanations

    words related to being caught in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of being captured or detected in compromising situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    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_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    aceutical
    -0.63
    reviewed
    -0.62
    guided
    -0.62
    study
    -0.61
    regate
    -0.61
    ukong
    -0.60
     counselors
    -0.60
    inished
    -0.59
    ggies
    -0.59
    enic
    -0.58
    POSITIVE LOGITS
     unprepared
    1.10
     stealing
    1.02
     cheating
    0.99
     unaware
    0.98
     sneaking
    0.93
     smuggling
    0.90
     tampering
    0.89
     plagiar
    0.85
     tresp
    0.82
     red
    0.81
    Activations Density 0.033%

    No Known Activations