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    3. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
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    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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    Neuron Alignment
    Index
    Value
    % of L₁
    288
    +0.18
    0.7%
    509
    +0.14
    0.5%
    163
    +0.13
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.18
    0.05
    709
    +0.14
    0.03
    326
    +0.13
    0.04
    Negative Logits
    rium
    -0.94
    rd
    -0.93
    fter
    -0.89
    mers
    -0.86
    tall
    -0.84
    fram
    -0.82
    thur
    -0.82
    umber
    -0.81
    fters
    -0.81
    umbers
    -0.81
    POSITIVE LOGITS
     disp
    0.91
     Dispatch
    0.90
    Dispatch
    0.82
    ables
    0.82
    phia
    0.79
     Quarterly
    0.79
    DragonMagazine
    0.75
    Mail
    0.74
    ptives
    0.74
     dependence
    0.74
    Activations Density 0.359%

    No Known Activations