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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. 12625
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    Explanations

    phrases related to tennis tournaments and achievements, such as "French Open" and "Grand Slam."

    oai_token-act-pair · gpt-3.5-turbo

    references to tennis events and achievements

    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
    Not in Any Lists

    No Comments

    Negative Logits
     ALEC
    -0.81
     [&
    -0.79
    HUD
    -0.78
     YPG
    -0.78
    aneers
    -0.76
     Beacon
    -0.76
     Homs
    -0.76
     Bills
    -0.75
     Marketplace
    -0.75
    Urban
    -0.75
    POSITIVE LOGITS
     tennis
    1.55
     ATP
    1.55
     Tennis
    1.52
    bledon
    1.40
     tournaments
    1.35
     tournament
    1.30
     Wim
    1.13
     disqual
    1.08
     Sere
    1.06
     unbeat
    1.05
    Activations Density 0.116%

    No Known Activations