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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. 9-RES-JB
    11. 5007
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to technology or tools for artistic creation

    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
    Not in Any Lists

    No Comments

    Negative Logits
     ÂŃ
    -0.95
    âĢİ
    -0.94
    Synopsis
    -0.82
    ÂŃ
    -0.78
     whistleblower
    -0.78
    -0.74
     Rodham
    -0.70
    hillary
    -0.69
     Cosponsors
    -0.68
     courageous
    -0.68
    POSITIVE LOGITS
     layouts
    1.05
     layout
    0.95
     crappy
    0.94
     menus
    0.94
     textures
    0.93
     clutter
    0.91
     buttons
    0.90
     vanilla
    0.88
     setups
    0.86
     random
    0.86
    Activations Density 0.729%

    No Known Activations