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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. 9-RES-JB
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    Explanations

    references to the Olympics or Olympic-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Olympics and Olympic-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erd
    -0.81
    arial
    -0.78
    lessly
    -0.75
    eric
    -0.75
    stocks
    -0.73
    Desktop
    -0.72
    erence
    -0.70
    ener
    -0.70
    drawn
    -0.69
    igan
    -0.67
    POSITIVE LOGITS
     Athlet
    1.00
     Olympic
    0.97
     medals
    0.94
     medal
    0.94
    lymp
    0.92
     athletes
    0.91
     Olympics
    0.91
     IOC
    0.89
     Torch
    0.88
     Games
    0.84
    Activations Density 0.053%

    No Known Activations