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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 E2E Recon
    9. 6-RES_SCEFR-AJT
    11. 8039
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    Explanations

    names of athletes, particularly in the context of sports events

    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
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    232
    +0.16
    0.5%
    107
    +0.15
    0.5%
    186
    +0.13
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    232
    +0.16
    0.09
    107
    +0.15
    0.06
    701
    +0.13
    0.06
    Negative Logits
    pection
    -1.07
    SPONSORED
    -1.01
     humble
    -0.97
    taboola
    -0.96
    ADVERTISEMENT
    -0.90
     conditioned
    -0.89
     observer
    -0.88
    Shut
    -0.87
    fitting
    -0.87
     Lauder
    -0.87
    POSITIVE LOGITS
    anski
    1.34
    geist
    1.13
    vous
    1.13
    illi
    1.12
     Mehran
    1.04
    inski
    1.02
    henko
    1.00
    Ñĥ
    0.98
    axies
    0.97
    ovsky
    0.96
    Activations Density 2.360%

    No Known Activations