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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
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    references to the Olympic Games

    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
    +0.20
    0.7%
    445
    +0.15
    0.5%
    146
    +0.14
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.20
    0.10
    48
    +0.15
    0.07
    146
    +0.14
    0.07
    Negative Logits
    stocks
    -1.03
    arial
    -1.02
    ouri
    -1.01
    ener
    -1.00
    utils
    -0.93
    eric
    -0.90
    drawn
    -0.90
    edly
    -0.87
    arma
    -0.87
    othal
    -0.86
    POSITIVE LOGITS
     Olympics
    1.19
     Olympic
    1.18
     Games
    1.14
    lymp
    1.11
     Torch
    1.06
     Rings
    0.99
    wald
    0.99
     IOC
    0.97
     Athlet
    0.97
     Bett
    0.97
    Activations Density 1.571%

    No Known Activations