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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. 94
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    INDEX
    Explanations

    phrases related to falling short or not meeting expectations

    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
    726
    +0.14
    0.5%
    35
    +0.14
    0.5%
    238
    +0.13
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    238
    +0.14
    0.03
    35
    +0.14
    0.03
    726
    +0.13
    0.03
    Negative Logits
    ellar
    -0.79
    RAW
    -0.78
    iny
    -0.74
    Ale
    -0.72
    antine
    -0.69
     Random
    -0.69
     Economy
    -0.68
     Flavoring
    -0.67
    Streamer
    -0.66
     Pike
    -0.66
    POSITIVE LOGITS
    sighted
    1.09
    falls
    0.90
    chnology
    0.87
    wind
    0.86
    strip
    0.85
    ening
    0.84
    akuya
    0.84
    agements
    0.83
    luster
    0.83
    handedly
    0.83
    Activations Density 0.341%

    No Known Activations