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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. 5-RES-JB
    6. 15750
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    Explanations

    phrases related to physical locations or terms related to agriculture

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "peat" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     tremend
    -0.78
     metic
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    GGGG
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    ãĥīãĥ©ãĤ´ãĥ³
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    GGGGGGGG
    -0.65
    ãĤ¤ãĥĪ
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    ItemThumbnailImage
    -0.62
     consortium
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    UCT
    -0.61
    VERTISEMENT
    -0.61
    POSITIVE LOGITS
    seed
    0.95
    ronics
    0.85
    oshenko
    0.79
    uld
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    mint
    0.76
    cake
    0.75
     Nieto
    0.74
    auld
    0.74
    bour
    0.74
    Cola
    0.73
    Activations Density 0.060%

    No Known Activations