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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. 7780
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    phrases related to aviation, specifically focusing on wings and airflow characteristics

    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
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    Neuron Alignment
    Index
    Value
    % of L₁
    526
    +0.26
    0.8%
    288
    +0.20
    0.7%
    99
    +0.19
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.26
    0.08
    326
    +0.20
    0.06
    99
    +0.19
    0.06
    Negative Logits
    Interstitial
    -1.32
     metab
    -1.17
    AMA
    -1.06
     Scotia
    -1.05
    UTE
    -1.03
     Cumber
    -1.02
     Browns
    -1.00
    BILITY
    -0.95
    ICAN
    -0.95
    okers
    -0.94
    POSITIVE LOGITS
    tip
    2.10
    nuts
    1.93
    tips
    1.91
    nut
    1.83
    edly
    1.51
     Chun
    1.35
    wich
    1.31
    ers
    1.30
    bill
    1.30
    erness
    1.30
    Activations Density 0.786%

    No Known Activations