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    2. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    3. GPT2-Small
    4. Residual Similar CE Local
    5. 6-RES_SCL-AJT
    6. 45119
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    Explanations

    violent and disturbing actions or events involving people and law enforcement officers

    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
    •Layer 6 UMAP region: e2e-recon cluster above bottome line touching local cluster - local

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    447
    +0.37
    2.1%
    640
    +0.13
    0.7%
    679
    +0.12
    0.7%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    6
    +0.37
    0.30
    640
    +0.13
    0.33
    679
    +0.12
    0.31
    Negative Logits
     nodd
    -0.68
     defe
    -0.67
     extinct
    -0.66
     quir
    -0.65
     everywhere
    -0.64
     royalty
    -0.63
     renaissance
    -0.63
    omics
    -0.63
     standings
    -0.63
     adapt
    -0.61
    POSITIVE LOGITS
     Afterwards
    1.00
     Investigators
    1.00
     During
    0.91
     According
    0.90
     Witnesses
    0.89
     Additionally
    0.87
     Apparently
    0.85
     However
    0.84
     Meanwhile
    0.83
     Moments
    0.83
    Activations Density 10.563%

    No Known Activations