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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. 2817
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to stock photography and related content

    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
    Not in Any Lists

    No Comments

    Negative Logits
    BLE
    -0.78
     Antar
    -0.71
    undai
    -0.71
    urally
    -0.70
    Äĩ
    -0.69
     nonexistent
    -0.69
     unfamiliar
    -0.68
    ĨĴ
    -0.67
    sole
    -0.67
     phased
    -0.66
    POSITIVE LOGITS
    holm
    1.10
    yards
    1.08
    ings
    1.04
    holders
    1.01
    yard
    0.97
    photo
    0.97
    holder
    0.91
    dale
    0.90
    utherland
    0.88
    still
    0.88
    Activations Density 0.015%

    No Known Activations