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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
    9. 6-RES_SCEFR-AJT
    11. 7530
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    Explanations

    phrases related to American football, specifically focusing on offensive and defensive strategies, player evaluations, and gameplay details

    oai_token-act-pair · gpt-3.5-turbo
    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
    Link
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    Neuron Alignment
    Index
    Value
    % of L₁
    618
    +0.13
    0.5%
    288
    +0.13
    0.5%
    447
    +0.12
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.13
    0.14
    575
    +0.13
    0.10
    540
    +0.12
    0.10
    Negative Logits
    Britain
    -0.95
    Austral
    -0.86
    bourg
    -0.84
     Ont
    -0.83
     VAT
    -0.83
    bara
    -0.81
     Brexit
    -0.80
     Parliament
    -0.75
     Parliamentary
    -0.75
     travellers
    -0.75
    POSITIVE LOGITS
    ESPN
    1.07
     linebacker
    1.04
     coached
    1.04
     linebackers
    0.99
     Belichick
    0.96
     quarterback
    0.94
     coach
    0.92
    aneers
    0.90
    Coach
    0.88
     Offense
    0.88
    Activations Density 2.484%

    No Known Activations