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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. 11466
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    Explanations

    specific vehicle brands and related terms such as vehicle models, performance features, and racing events

    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%
    89
    +0.13
    0.5%
    551
    +0.12
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.15
    0.13
    326
    +0.13
    0.10
    343
    +0.12
    0.08
    Negative Logits
     Seym
    -1.08
    sembly
    -0.94
    papers
    -0.93
     Flavoring
    -0.91
    thodox
    -0.90
    wart
    -0.90
    yip
    -0.88
    flix
    -0.88
    glers
    -0.85
     Kafka
    -0.85
    POSITIVE LOGITS
     dealership
    1.36
    Benz
    1.16
     automobiles
    1.09
     Motor
    1.04
    obiles
    1.01
     parked
    1.00
     cars
    1.00
     headlights
    0.96
     motorcycles
    0.96
     vehicles
    0.95
    Activations Density 2.121%

    No Known Activations