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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. 10-RES-JB
    11. 5180
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    Explanations

    words related to time units, especially those related to minutes

    oai_token-act-pair · gpt-3.5-turbo

    specific suffixes related to various classifications or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    enegger
    -0.74
    ãĥ¤
    -0.62
    ãĥ¼ãĥĨ
    -0.61
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.61
     Strait
    -0.60
     Benz
    -0.58
    nces
    -0.58
    rawdownloadcloneembedreportprint
    -0.57
     Austral
    -0.55
     Mechdragon
    -0.55
    POSITIVE LOGITS
    nesota
    0.97
    iae
    0.92
    ippi
    0.83
    orum
    0.81
    amps
    0.78
    ota
    0.75
    ukes
    0.73
    igure
    0.73
    OTA
    0.72
    otos
    0.70
    Activations Density 0.060%

    No Known Activations