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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. 6587
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    Explanations

    words related to harbors and harboring, especially in a maritime context

    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
    288
    +0.15
    0.6%
    238
    +0.11
    0.5%
    271
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.15
    0.09
    326
    +0.11
    0.06
    238
    +0.11
    0.04
    Negative Logits
    yson
    -0.88
    andr
    -0.86
    ioch
    -0.80
    cious
    -0.79
    nesota
    -0.78
     millenn
    -0.75
    organic
    -0.70
    ures
    -0.69
    initely
    -0.69
    iane
    -0.68
    POSITIVE LOGITS
     harbor
    0.82
     Spit
    0.82
    mallow
    0.80
    maid
    0.78
     Ship
    0.77
    front
    0.74
     harb
    0.74
     Harbour
    0.73
    ships
    0.71
    alling
    0.70
    Activations Density 0.820%

    No Known Activations