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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. 9061
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    Explanations

    mentions of sports tournaments

    oai_token-act-pair · gpt-3.5-turbo

    references to competitive events 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
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    No Comments

    Negative Logits
    ths
    -0.79
    hart
    -0.74
    uscript
    -0.70
    ourke
    -0.68
    omething
    -0.68
    «
    -0.67
    ï¸ı
    -0.62
     Matter
    -0.62
    haar
    -0.61
    ĺħ
    -0.61
    POSITIVE LOGITS
     organisers
    0.94
    ournament
    0.88
     organizers
    0.88
    eers
    0.86
     tournament
    0.86
     tournaments
    0.85
     entrants
    0.82
     organizer
    0.81
     finals
    0.80
    halla
    0.78
    Activations Density 0.034%

    No Known Activations