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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. 10955
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    phrases related to communication and technology in a military or aerospace context

    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
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    Neuron Alignment
    Index
    Value
    % of L₁
    541
    +0.14
    0.5%
    326
    +0.11
    0.4%
    486
    +0.11
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.14
    0.20
    326
    +0.11
    0.18
    575
    +0.11
    0.13
    Negative Logits
    ardless
    -1.04
    illard
    -0.91
    Bron
    -0.85
    equality
    -0.85
    arte
    -0.83
    oven
    -0.82
    rovers
    -0.81
    esville
    -0.80
    clud
    -0.80
    galitarian
    -0.79
    POSITIVE LOGITS
     transmissions
    1.45
     transmitter
    1.33
     signals
    1.32
     transmit
    1.31
     transmission
    1.28
     broadcasts
    1.25
    metry
    1.19
     alerts
    1.18
     radios
    1.14
     signal
    1.12
    Activations Density 4.656%

    No Known Activations