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    3. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    5. GPT2-Small
    7. Residual Similar CE E2E Recon
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    mentions of football clubs and players, especially Manchester City, Manchester United, and related transfer news

    oai_token-act-pair · gpt-3.5-turbo

    references to the football club Manchester United and related football clubs and locations

    oai_token-act-pair · gpt-3.5-turboTriggered by @jordan
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scefr-ajt/6-res_scefr-ajt
    Prompts (Dashboard)
    12,288 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    46,080
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    apollo-research/Skylion007-openwebtext-tokenizer-gpt2
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
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    Neuron Alignment
    Index
    Value
    % of L₁
    288
    +0.20
    0.8%
    623
    +0.14
    0.5%
    232
    +0.13
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.20
    0.08
    232
    +0.14
    0.05
    57
    +0.13
    0.05
    Negative Logits
    OPLE
    -1.09
    PLA
    -1.06
    ï¸ı
    -1.02
    EStreamFrame
    -0.97
    avorite
    -0.96
    verted
    -0.93
    fty
    -0.93
    tnc
    -0.92
    estern
    -0.90
    ecast
    -0.89
    POSITIVE LOGITS
     Lumpur
    1.22
     Orchestra
    1.08
    sburg
    0.99
     Manor
    0.97
     City
    0.89
     Vegas
    0.84
     Airways
    0.84
     Fury
    0.81
     Evening
    0.81
     Grill
    0.79
    Activations Density 0.822%

    No Known Activations