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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. 0-RES-JB
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    Explanations

    mentions of the football club "Everton" with a particularly strong focus on economics and finances related to the club

    oai_token-act-pair · gpt-3.5-turbo

    references to specific football clubs, particularly Everton and Bayern Munich

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     colored
    -0.67
    ect
    -0.62
    gins
    -0.62
    APH
    -0.61
    asio
    -0.61
     oils
    -0.60
    colored
    -0.59
    igs
    -0.59
     flavors
    -0.58
     portion
    -0.58
    POSITIVE LOGITS
     Bayern
    2.69
     Everton
    2.51
     Tottenham
    2.43
     Dortmund
    2.33
     Juventus
    2.21
     Swansea
    2.14
     Southampton
    2.04
     Leicester
    2.03
    Liverpool
    2.00
    ottenham
    2.00
    Activations Density 0.029%

    No Known Activations