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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. 3-RES-JB
    11. 24034
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    Explanations

    names, specifically those likely associated with news or publications

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names, particularly "Kel" and variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ItemTracker
    -0.79
    displayText
    -0.74
    20439
    -0.70
    enegger
    -0.69
    BOOK
    -0.69
    CLASSIFIED
    -0.67
     AMERICA
    -0.65
    æĦ
    -0.65
    xual
    -0.64
     Sequ
    -0.63
    POSITIVE LOGITS
    tering
    1.01
    seys
    0.99
    sten
    0.98
    sey
    0.95
     Lumpur
    0.94
    istani
    0.92
    zeb
    0.91
    leys
    0.89
    pie
    0.88
    lee
    0.87
    Activations Density 0.006%

    No Known Activations