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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. 8-RES-JB
    11. 10197
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    Explanations

    details about sports tournaments and competitions

    oai_token-act-pair · gpt-3.5-turbo

    event details, particularly related to competitions or tournaments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FBI
    -0.79
    ickr
    -0.77
    etooth
    -0.72
    etsy
    -0.71
    Detect
    -0.71
    âĹ¼
    -0.70
    ãģķ
    -0.70
    reads
    -0.69
    Phones
    -0.69
    yrus
    -0.68
    POSITIVE LOGITS
     tournament
    1.34
     Tournament
    1.30
     tournaments
    1.29
     Championship
    1.24
     Championships
    1.20
     competitions
    1.19
     contestants
    1.17
     championships
    1.15
     finals
    1.13
     Finals
    1.10
    Activations Density 0.906%

    No Known Activations