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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. 3104
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    the presence of certain symbols or markers

    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
     pigeon
    -0.72
     mounts
    -0.70
     mount
    -0.66
     tides
    -0.65
    enegger
    -0.64
     Vaugh
    -0.64
     synerg
    -0.62
     succession
    -0.62
     clitor
    -0.61
     Mirage
    -0.61
    POSITIVE LOGITS
    ï¸ı
    1.43
    âĶĢâĶĢ
    0.95
    âĢİ
    0.92
    §
    0.91
    à¼
    0.90
    ternity
    0.87
    âĸł
    0.87
    ×Ķ
    0.87
    âĶĢâĶĢâĶĢâĶĢ
    0.85
    âĢ
    0.82
    Activations Density 0.135%

    No Known Activations