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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. 22140
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    technical terms and references related to programming, gaming, and social issues

    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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    No Comments

    Negative Logits
    lihood
    -0.34
    azeera
    -0.32
    assetsadobe
    -0.31
     Hiroshima
    -0.29
     Flavoring
    -0.29
    anwhile
    -0.28
    ulhu
    -0.28
    heid
    -0.28
     totality
    -0.27
    erous
    -0.26
    POSITIVE LOGITS
    MC
    0.31
     Âł Âł Âł Âł
    0.29
    ¶
    0.29
    ERG
    0.28
    âĢij
    0.27
    gru
    0.25
    App
    0.25
    RS
    0.25
    jug
    0.25
    oqu
    0.25
    Activations Density 2.970%

    No Known Activations