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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. 10508
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    Explanations

    cycling-related terms, such as specific races, team names, and stage wins

    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
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    Neuron Alignment
    Index
    Value
    % of L₁
    153
    +0.11
    0.5%
    731
    +0.10
    0.5%
    630
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.11
    0.05
    326
    +0.10
    0.04
    515
    +0.09
    0.03
    Negative Logits
    osa
    -0.74
    ogyn
    -0.74
    rha
    -0.74
    hiro
    -0.72
    ufact
    -0.70
    cair
    -0.70
    ogun
    -0.67
    atsu
    -0.64
    urai
    -0.64
    atson
    -0.64
    POSITIVE LOGITS
    cember
    0.57
    robe
    0.56
     Wolves
    0.56
    weight
    0.56
     task
    0.55
    nik
    0.55
     Annotations
    0.54
     unlucky
    0.54
     Adinida
    0.54
     dr
    0.53
    Activations Density 0.313%

    No Known Activations