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    3. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
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    9. 6-RES_SCEFR-AJT
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    Explanations

    words related to theft and crime

    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
    288
    +0.20
    0.7%
    570
    +0.14
    0.5%
    326
    +0.14
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.20
    0.10
    604
    +0.14
    0.05
    665
    +0.14
    0.08
    Negative Logits
    tem
    -0.98
    mitt
    -0.91
    travel
    -0.88
    Phys
    -0.87
    izons
    -0.85
    bil
    -0.82
    appa
    -0.82
    nis
    -0.82
    enegger
    -0.82
    IX
    -0.82
    POSITIVE LOGITS
     glances
    1.11
    weed
    1.07
    itures
    0.95
     possession
    0.94
    iffs
    0.86
    ota
    0.85
     away
    0.84
    ives
    0.81
    ilage
    0.81
    dragon
    0.80
    Activations Density 1.387%

    No Known Activations