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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. 69
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    Explanations

    references to various software technologies and tools, such as event-driven frameworks, database systems, message libraries, and networking engines

    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
    +0.18
    0.8%
    444
    +0.14
    0.6%
    101
    +0.12
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.18
    0.26
    326
    +0.14
    0.19
    444
    +0.12
    0.11
    Negative Logits
    verted
    -0.93
    ivity
    -0.81
    ential
    -0.80
    away
    -0.75
    encia
    -0.73
    ional
    -0.70
    =-=-=-=-=-=-=-=-
    -0.68
    ifts
    -0.68
    ================================================================
    -0.67
    ibly
    -0.67
    POSITIVE LOGITS
    iami
    0.90
    uppet
    0.90
    emonic
    0.90
    useum
    0.90
    ONEY
    0.89
    unicip
    0.86
    afia
    0.86
    insk
    0.84
    hattan
    0.84
     Mayhem
    0.83
    Activations Density 5.038%

    No Known Activations