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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. 7-RES-JB
    6. 4324
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    terms related to news headlines and articles

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of numbers and their context in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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     trump
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    ©¶æ
    -0.69
     disciplines
    -0.69
     dolphin
    -0.69
     lifes
    -0.68
    POSITIVE LOGITS
    Speaking
    1.33
    Meanwhile
    1.28
    According
    1.24
    Since
    1.24
    Using
    1.23
    Then
    1.23
    However
    1.23
    While
    1.21
    But
    1.20
    Similar
    1.20
    Activations Density 0.206%

    No Known Activations