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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. 7-RES-JB
    11. 9925
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    Explanations

    dates and legal phrases

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, particularly periods and commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    lihood
    -0.74
    adal
    -0.72
    Newsletter
    -0.71
     distilled
    -0.68
    ãĤ©
    -0.67
    bum
    -0.67
    istical
    -0.67
    gren
    -0.67
    essen
    -0.66
    ŃĶ
    -0.66
    POSITIVE LOGITS
     Yesterday
    0.95
     Specifically
    0.94
     Speaking
    0.91
     REUTERS
    0.90
    Interested
    0.89
     Lawyers
    0.85
     Instead
    0.84
     Experts
    0.84
     POLITICO
    0.83
     Meanwhile
    0.82
    Activations Density 0.337%

    No Known Activations