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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. 10-RES-JB
    6. 24109
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    Explanations

    phrases related to proving or demonstrating something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of proving or demonstrating something

    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
    etting
    -0.81
    cffffcc
    -0.74
     livest
    -0.70
     newsletters
    -0.69
    ades
    -0.64
    asus
    -0.64
    ussen
    -0.64
     ado
    -0.62
    ufact
    -0.62
     Variant
    -0.60
    POSITIVE LOGITS
     convinc
    0.83
    ance
    0.78
     otherwise
    0.78
     innocence
    0.78
     definitively
    0.75
     authenticity
    0.74
     beyond
    0.73
    reader
    0.72
     pudding
    0.72
     Grounds
    0.70
    Activations Density 0.042%

    No Known Activations