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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 2766
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    Explanations

    phrases related to layout and design

    oai_token-act-pair · gpt-3.5-turbo

    references to design layouts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hood
    -0.97
    icer
    -0.91
    jamin
    -0.83
     Lauder
    -0.79
    inas
    -0.78
    ute
    -0.71
     Ago
    -0.70
    avez
    -0.70
    elope
    -0.68
    oil
    -0.68
    POSITIVE LOGITS
     layouts
    1.34
     layout
    1.29
     Layout
    1.04
     diagrams
    0.92
     mismatch
    0.90
     diagram
    0.90
    layout
    0.85
    eering
    0.81
     spacing
    0.81
    Layout
    0.77
    Activations Density 0.014%

    No Known Activations