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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. 4-RES-JB
    11. 14537
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    Explanations

    words related to file sharing and technology

    oai_token-act-pair · gpt-3.5-turbo

    references to torrenting and copyright-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    mberg
    -0.85
    utenant
    -0.84
    beh
    -0.76
    ndra
    -0.74
    otton
    -0.73
    dule
    -0.72
    asure
    -0.72
    pta
    -0.71
    cius
    -0.70
    uca
    -0.70
    POSITIVE LOGITS
    DragonMagazine
    0.96
     torrent
    0.95
    ial
    0.93
    ographers
    0.80
    icons
    0.78
     Torrent
    0.77
    ographer
    0.75
     Kafka
    0.75
     downloads
    0.74
    iform
    0.72
    Activations Density 0.009%

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