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    1. Home
    2. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    3. GPT2-Small
    4. Residual Similar CE E2E Recon
    5. 6-RES_SCEFR-AJT
    6. 666
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    Explanations

    medical conditions and symptoms

    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
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    260
    +0.12
    0.5%
    335
    +0.11
    0.5%
    494
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    209
    +0.12
    0.07
    724
    +0.11
    0.11
    195
    +0.11
    0.01
    Negative Logits
    æ©Ł
    -0.89
    staff
    -0.78
     Books
    -0.76
     chairs
    -0.76
    bern
    -0.75
     spons
    -0.74
    Oracle
    -0.74
     microphones
    -0.72
     desks
    -0.72
    maid
    -0.71
    POSITIVE LOGITS
    ptoms
    1.37
     Symptoms
    1.29
     symptoms
    1.28
     infections
    1.13
     prevention
    1.06
     outbreaks
    1.05
     occur
    1.04
     Detected
    1.03
     epidemic
    1.03
     headaches
    1.01
    Activations Density 3.513%

    No Known Activations