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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. 7-RES-JB
    11. 13576
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    Explanations

    references to information leaks

    oai_token-act-pair · gpt-3.5-turbo

    mentions of information leaks and related disclosures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    iterranean
    -0.81
    igel
    -0.73
    stad
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    oran
    -0.66
    cles
    -0.63
    rians
    -0.62
    lov
    -0.61
    GRE
    -0.61
    merce
    -0.61
    ternity
    -0.61
    POSITIVE LOGITS
     leaks
    0.86
    acious
    0.86
     leak
    0.82
     leaked
    0.81
    Leaks
    0.78
     leaking
    0.77
     confidential
    0.75
    ariat
    0.71
     passages
    0.70
     closet
    0.70
    Activations Density 0.029%

    No Known Activations