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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
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    sports-related content, particularly focusing on soccer and hockey players and their performances

    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
    640
    +0.18
    1.0%
    679
    +0.17
    1.0%
    393
    +0.13
    0.7%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    6
    +0.18
    0.28
    679
    +0.17
    0.29
    640
    +0.13
    0.27
    Negative Logits
     pit
    -0.60
     affili
    -0.58
    iber
    -0.57
     submerged
    -0.57
    ay
    -0.57
     authorized
    -0.56
     transact
    -0.55
     pir
    -0.55
     sal
    -0.55
     alphabet
    -0.55
    POSITIVE LOGITS
     Otherwise
    1.08
     Luckily
    1.06
     Fortunately
    1.05
     However
    1.03
     Afterwards
    1.02
     Ideally
    1.02
     Nevertheless
    1.01
     Hopefully
    0.99
     Unfortunately
    0.98
     Thankfully
    0.98
    Activations Density 2.796%

    No Known Activations