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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. 7892
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    medical conditions and treatments related to the respiratory system, particularly focusing on lung-related illnesses like asthma, respiratory distress, and lung failure

    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
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    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    288
    +0.23
    0.8%
    12
    +0.16
    0.5%
    326
    +0.15
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.23
    0.12
    326
    +0.16
    0.09
    99
    +0.15
    0.06
    Negative Logits
    laus
    -0.97
    */(
    -0.91
    antine
    -0.90
    "]=>
    -0.90
    enegger
    -0.88
     Rockefeller
    -0.87
     Templar
    -0.87
    points
    -0.87
    erer
    -0.85
     TOD
    -0.85
    POSITIVE LOGITS
    monary
    1.24
    obic
    1.16
    bably
    1.14
     lungs
    1.09
     exting
    1.05
    igue
    1.02
    NET
    0.99
    ashtra
    0.98
     breathing
    0.98
    atic
    0.98
    Activations Density 1.155%

    No Known Activations