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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_SCL-AJT
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    oai_token-act-pair · gpt-3.5-turbo

    dates

    oai_token-act-pair · gpt-3.5-turboTriggered by @danbraun
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scl-ajt/6-res_scl-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
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    Neuron Alignment
    Index
    Value
    % of L₁
    447
    +0.24
    1.1%
    430
    +0.14
    0.7%
    689
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    306
    +0.24
    0.18
    430
    +0.14
    0.24
    689
    +0.11
    0.16
    Negative Logits
     gib
    -0.75
     yeast
    -0.69
     jelly
    -0.64
     xp
    -0.63
    DNA
    -0.62
     Hispan
    -0.61
    dll
    -0.58
    natureconservancy
    -0.57
    ariat
    -0.56
     Warp
    -0.56
    POSITIVE LOGITS
    furt
    0.96
    -'
    0.83
    è£ħ
    0.73
     accusing
    0.68
     guiIcon
    0.67
     alleging
    0.67
     allege
    0.65
    lis
    0.62
     amid
    0.61
     guiActive
    0.60
    Activations Density 12.158%

    No Known Activations