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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 1292
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    Explanations

    keywords related to places or things like "garage."

    oai_token-act-pair · gpt-3.5-turbo

    references to physical locations and structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Tribe
    -0.79
    PORT
    -0.78
    DragonMagazine
    -0.78
    BSD
    -0.77
    ãĤ¼
    -0.75
    DEV
    -0.75
    CV
    -0.74
    ãĥ´ãĤ¡
    -0.72
     Club
    -0.71
    Revolution
    -0.70
    POSITIVE LOGITS
    oling
    0.97
    inged
    0.91
     todd
    0.87
    oled
    0.86
    aded
    0.84
    gue
    0.84
    iper
    0.84
    icol
    0.81
     jung
    0.80
    etime
    0.80
    Activations Density 0.047%

    No Known Activations