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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. 5340
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    words related to traffic engineering and infrastructure

    oai_token-act-pair · gpt-3.5-turbo

    words associated with traffic and transportation-related concepts

    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
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    Neuron Alignment
    Index
    Value
    % of L₁
    288
    +0.24
    0.8%
    89
    +0.15
    0.5%
    593
    +0.14
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.24
    0.08
    442
    +0.15
    0.05
    574
    +0.14
    0.03
    Negative Logits
    sonian
    -1.40
    nai
    -1.38
    lain
    -1.27
    nov
    -1.11
    mond
    -1.00
    ta
    -0.97
    enthal
    -0.96
    tle
    -0.95
    ipedia
    -0.95
    zbek
    -0.95
    POSITIVE LOGITS
     congestion
    1.40
     jams
    1.40
     traffic
    1.18
     lanes
    1.03
     Traffic
    1.01
     jam
    0.99
     lane
    0.98
     queues
    0.97
     controllers
    0.97
    lane
    0.95
    Activations Density 0.969%

    No Known Activations