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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. 10-RES-JB
    11. 21412
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    Explanations

    symbols and characters

    oai_token-act-pair · gpt-3.5-turbo

    sequences of unusual or special characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    eatures
    -1.12
    sembly
    -0.91
     livest
    -0.80
    ¥ŀ
    -0.79
     welf
    -0.79
     overlap
    -0.77
    htaking
    -0.77
    ayson
    -0.75
     breadth
    -0.73
     thwart
    -0.73
    POSITIVE LOGITS
    ì
    2.11
    ë
    2.04
    ê
    1.98
    í
    1.94
    ìĿ
    1.89
    íķ
    1.89
    ëĭ
    1.87
     ì
    1.82
     ë
    1.80
    à¥
    1.50
    Activations Density 0.010%

    No Known Activations