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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. 11833
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    Explanations

    details related to ships and vessels, such as hull strength, engine types, construction details, navigation considerations, historical incidents, and descriptions of specific ships

    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
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    Neuron Alignment
    Index
    Value
    % of L₁
    288
    +0.18
    0.6%
    459
    +0.17
    0.6%
    484
    +0.16
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    484
    +0.18
    0.05
    652
    +0.17
    0.05
    288
    +0.16
    0.06
    Negative Logits
    çīĪ
    -1.20
    âĶģ
    -1.05
     confir
    -1.01
    okers
    -0.97
    avez
    -0.97
    odes
    -0.95
     tremend
    -0.90
    nyder
    -0.89
    tg
    -0.86
    ipes
    -0.86
    POSITIVE LOGITS
    wreck
    2.14
    wright
    1.75
    yard
    1.71
    yards
    1.59
     Yamato
    1.48
    mates
    1.41
    boat
    1.36
     Graveyard
    1.33
    boats
    1.31
    building
    1.31
    Activations Density 0.664%

    No Known Activations