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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. 687
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation and syntax elements, particularly questions and brackets

    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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    Negative Logits
     manif
    -0.70
     pen
    -0.69
     cle
    -0.63
     displ
    -0.62
     spont
    -0.61
     pocket
    -0.61
     litter
    -0.60
     secretaries
    -0.60
     pens
    -0.59
     graft
    -0.59
    POSITIVE LOGITS
    taboola
    0.95
    à¼
    0.95
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    0.95
    Warning
    0.94
    NetMessage
    0.94
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.90
    Enlarge
    0.88
    wcsstore
    0.88
    à¨
    0.87
    Skip
    0.87
    Activations Density 0.059%

    No Known Activations