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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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    references to martial arts, fighters, and MMA (Mixed Martial Arts)

    oai_token-act-pair · gpt-3.5-turbo
    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
    Link
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    447
    +0.14
    0.7%
    288
    +0.14
    0.6%
    755
    +0.13
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.14
    0.16
    444
    +0.14
    0.04
    575
    +0.13
    0.10
    Negative Logits
    RGB
    -0.77
    ilk
    -0.77
    idy
    -0.76
    greSQL
    -0.75
    istors
    -0.71
    orb
    -0.71
    apter
    -0.71
    idency
    -0.70
    uter
    -0.69
    */(
    -0.67
    POSITIVE LOGITS
     martial
    1.02
     arts
    1.00
    fighting
    0.93
     practitioners
    0.85
     prowess
    0.81
     Martial
    0.80
     chore
    0.79
     spar
    0.78
    fighter
    0.75
     fencing
    0.74
    Activations Density 5.871%

    No Known Activations