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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 Local
    9. 6-RES_SCL-AJT
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    Explanations

    names of cyclists and their respective teams from different countries

    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
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    548
    +0.09
    0.5%
    671
    +0.07
    0.4%
    378
    +0.07
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    373
    +0.09
    -0.10
    314
    +0.07
    -0.02
    311
    +0.07
    -0.02
    Negative Logits
    Reviewer
    -0.66
    sbm
    -0.58
    ablishment
    -0.57
    bil
    -0.56
    utenberg
    -0.54
    orem
    -0.53
    ailable
    -0.53
    Haunted
    -0.52
    milo
    -0.50
    âĨij
    -0.50
    POSITIVE LOGITS
    )=(
    0.62
     Highlands
    0.54
     teammate
    0.54
    celona
    0.51
     bidder
    0.51
    ragon
    0.50
    awan
    0.50
    letico
    0.50
     Lumpur
    0.50
     Latvia
    0.50
    Activations Density 3.186%

    No Known Activations