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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
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    Neuron Alignment
    Index
    Value
    % of L₁
    195
    +0.17
    0.6%
    496
    +0.16
    0.6%
    277
    +0.12
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    496
    +0.17
    0.06
    101
    +0.16
    0.06
    195
    +0.12
    0.02
    Negative Logits
    idth
    -1.09
    ofi
    -0.93
     foundations
    -0.87
    icipated
    -0.86
     ItemLevel
    -0.84
    ymph
    -0.82
    utic
    -0.81
    brates
    -0.81
     footing
    -0.80
    bridge
    -0.79
    POSITIVE LOGITS
    REDACTED
    0.91
    çīĪ
    0.87
    itors
    0.87
    Attempts
    0.82
    ITED
    0.79
     Writers
    0.78
     amen
    0.77
     Jed
    0.75
     Tue
    0.75
     commenter
    0.73
    Activations Density 0.408%

    No Known Activations