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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. 9-RES-JB
    6. 15134
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    Explanations

    phrases related to historical events and figures

    oai_token-act-pair · gpt-3.5-turbo

    specific proposals or recommendations regarding individual or group actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     (@
    -0.97
    ï¸ı
    -0.89
    bnb
    -0.88
     WATCH
    -0.87
     2017
    -0.83
     GoPro
    -0.82
     Marketplace
    -0.81
     Awakens
    -0.81
     Xiaomi
    -0.80
     Lyft
    -0.77
    POSITIVE LOGITS
     postwar
    1.12
     Soviet
    0.95
     hereditary
    0.95
     wartime
    0.90
     arist
    0.89
     seventeen
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    Soviet
    0.89
     forty
    0.88
     eighty
    0.87
     seventy
    0.86
    Activations Density 1.489%

    No Known Activations