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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. 8060
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    Explanations

    phrases related to optimization and improvement in various contexts such as software coding, medical research, sustainability, and business operations

    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
    +0.21
    0.7%
    566
    +0.17
    0.5%
    7
    +0.16
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.21
    0.14
    326
    +0.17
    0.10
    271
    +0.16
    0.05
    Negative Logits
    enegger
    -1.34
    BuyableInstoreAndOnline
    -1.19
    manship
    -1.15
    jong
    -1.06
    hips
    -1.04
    rough
    -1.04
    lust
    -1.04
    bley
    -1.01
    Characters
    -1.00
     Falk
    -0.99
    POSITIVE LOGITS
     efficiency
    1.21
     allocation
    1.17
     alloc
    1.13
     optimization
    1.09
    eering
    1.06
    bably
    1.03
     ratios
    1.02
    istical
    1.01
     optimize
    1.01
    urally
    1.00
    Activations Density 1.759%

    No Known Activations