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    3. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    5. GPT2-Small
    7. Residual Similar CE Local
    9. 6-RES_SCL-AJT
    11. 31311
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    Explanations

    words related to coaching staff members and team dynamics in the context of sports

    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
    Neuron Alignment
    Index
    Value
    % of L₁
    447
    +0.29
    1.4%
    610
    +0.11
    0.5%
    766
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    468
    +0.29
    0.09
    274
    +0.11
    0.10
    766
    +0.11
    0.09
    Negative Logits
    pend
    -0.78
     pend
    -0.71
    fruit
    -0.69
    paralle
    -0.68
     Entered
    -0.66
    erity
    -0.66
    rats
    -0.65
     manag
    -0.64
    blem
    -0.63
     mosqu
    -0.61
    POSITIVE LOGITS
     sarcast
    0.80
     bluntly
    0.75
     chuck
    0.75
     rhet
    0.72
     referring
    0.70
     angrily
    0.64
     incred
    0.63
     proudly
    0.63
     referencing
    0.61
     Harbour
    0.61
    Activations Density 6.286%

    No Known Activations