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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. 1188
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    Explanations

    information related to sports statistics and analysis

    oai_token-act-pair · gpt-3.5-turbo

    keywords associated with action or activity, often related to sports, performance, or physical engagement

    oai_token-act-pair · gpt-3.5-turboTriggered by @danbraun
    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
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    169
    +0.12
    0.4%
    375
    +0.11
    0.4%
    299
    +0.11
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.12
    0.19
    665
    +0.11
    0.15
    70
    +0.11
    0.11
    Negative Logits
    dylib
    -0.79
     Nielsen
    -0.77
    berra
    -0.73
     Bain
    -0.72
    ormonal
    -0.69
    onso
    -0.68
    SIGN
    -0.67
    htt
    -0.66
    Enlarge
    -0.66
    written
    -0.66
    POSITIVE LOGITS
     outdoors
    1.15
     experien
    1.02
     experience
    0.94
     indoors
    0.89
     Simulator
    0.88
     WITHOUT
    0.86
     solo
    0.85
     comfortably
    0.79
    orno
    0.77
    æĸ¹
    0.77
    Activations Density 5.105%

    No Known Activations