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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. 2643
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    Explanations

    numerical mentions of speeds measured in miles per hour (mph)

    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
    326
    +0.19
    0.7%
    299
    +0.17
    0.6%
    90
    +0.16
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    326
    +0.19
    0.05
    678
    +0.17
    0.05
    392
    +0.16
    0.05
    Negative Logits
    igning
    -0.98
    theless
    -0.95
    bor
    -0.94
    actionDate
    -0.94
    Austral
    -0.94
     QR
    -0.93
    gotten
    -0.92
    ulla
    -0.86
    meal
    -0.86
    bies
    -0.84
    POSITIVE LOGITS
    elsius
    1.31
    renheit
    1.08
    heit
    0.99
     heater
    0.98
     Rating
    0.96
    uzzle
    0.90
    +.
    0.87
    ²
    0.87
     Fahrenheit
    0.87
     displacement
    0.86
    Activations Density 0.431%

    No Known Activations