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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. 11-RES-JB
    11. 5926
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    Explanations

    mentions of sports championships and titles

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports titles and championships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.73
    Website
    -0.64
     dele
    -0.62
    iter
    -0.61
    idan
    -0.60
    Methods
    -0.60
    derived
    -0.60
     practiced
    -0.58
    isf
    -0.58
    velength
    -0.57
    POSITIVE LOGITS
     outright
    1.24
     convinc
    1.00
     championships
    0.97
     trophy
    0.94
     trophies
    0.92
     lottery
    0.89
     unanimously
    0.87
     championship
    0.87
     Trophy
    0.86
     award
    0.85
    Activations Density 0.130%

    No Known Activations