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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. 8984
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    Explanations

    details about negative events or actions related to security, conflicts, regulations, and legal issues

    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
    283
    +0.15
    0.7%
    234
    +0.13
    0.6%
    619
    +0.12
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    665
    +0.15
    0.17
    526
    +0.13
    -0.01
    283
    +0.12
    0.06
    Negative Logits
     largeDownload
    -0.87
    sonian
    -0.81
    soDeliveryDate
    -0.77
    undrum
    -0.70
     motto
    -0.70
     analogy
    -0.70
    requires
    -0.70
    lished
    -0.67
    DragonMagazine
    -0.66
     denotes
    -0.65
    POSITIVE LOGITS
    )).
    0.73
     unfavorable
    0.72
     certain
    0.69
    ife
    0.68
     unwanted
    0.68
    "))
    0.67
    ").
    0.67
     harmful
    0.66
     themselves
    0.65
    ento
    0.64
    Activations Density 4.763%

    No Known Activations