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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. 3016
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    Explanations

    information related to climate change, greenhouse gas emissions, carbon reduction, and energy policies and initiatives

    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
    Neuron Alignment
    Index
    Value
    % of L₁
    450
    +0.12
    0.5%
    651
    +0.12
    0.4%
    749
    +0.11
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.12
    0.17
    67
    +0.12
    0.10
    651
    +0.11
    0.09
    Negative Logits
    urat
    -1.06
    channelAvailability
    -0.92
    actionDate
    -0.88
    IME
    -0.87
    eah
    -0.86
    agall
    -0.85
    ime
    -0.85
    rongh
    -0.81
     Valiant
    -0.80
    ourning
    -0.79
    POSITIVE LOGITS
     emissions
    1.13
     fuels
    1.04
     greenhouse
    1.02
     warming
    1.02
     pollution
    1.01
     Agenda
    1.00
     dioxide
    0.99
    ocide
    0.99
     footprint
    0.99
     sustainability
    0.98
    Activations Density 2.966%

    No Known Activations