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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. 10117
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    INDEX
    Explanations

    words related to technology and applications, particularly in the fields of neuroscience, energy, and digital platforms

    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
    679
    +0.18
    0.7%
    288
    +0.16
    0.6%
    451
    +0.12
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.18
    0.22
    679
    +0.16
    0.19
    575
    +0.12
    0.17
    Negative Logits
    ocaust
    -0.85
     monarchy
    -0.83
    clock
    -0.81
     tabl
    -0.81
    ograph
    -0.80
    Lago
    -0.79
     desp
    -0.79
     hating
    -0.78
     vill
    -0.76
     libel
    -0.76
    POSITIVE LOGITS
     Emerging
    1.04
     Opportunity
    1.00
     opportunities
    0.97
     Develop
    0.96
     Applications
    0.94
     develops
    0.94
     portfolios
    0.94
     applications
    0.93
     feasibility
    0.93
    20439
    0.93
    Activations Density 4.164%

    No Known Activations