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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. 19166
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    Explanations

    phrases related to heroic actions or intervention

    oai_token-act-pair · gpt-3.5-turbo

    references to popular culture and media

    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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    No Comments

    Negative Logits
    enegger
    -0.91
    iets
    -0.83
    kefeller
    -0.73
    pter
    -0.69
    earch
    -0.68
     lobb
    -0.66
    illac
    -0.66
    tests
    -0.65
    ricted
    -0.64
    enance
    -0.64
    POSITIVE LOGITS
    é¾įå
    0.62
     Bastard
    0.62
    Ö¼
    0.61
    bash
    0.61
    ãĤī
    0.60
     Walton
    0.59
    elson
    0.58
    ãģ¦
    0.58
    »Ĵ
    0.57
    ¿½
    0.56
    Activations Density 0.249%

    No Known Activations