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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. 3356
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    Explanations

    phrases related to legal issues and processes, with a strong focus on specific legal terminology

    oai_token-act-pair · gpt-3.5-turbo

    words or syllables containing "-att-"

    oai_token-act-pair · gpt-3.5-turboTriggered by @danbraun
    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
    7
    +0.15
    0.7%
    582
    +0.12
    0.5%
    339
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    373
    +0.15
    -0.01
    232
    +0.12
    0.03
    7
    +0.11
    0.03
    Negative Logits
     Expend
    -0.75
     cytok
    -0.75
     Zamb
    -0.73
     territ
    -0.69
    EStream
    -0.68
     resil
    -0.67
     nationally
    -0.67
     defic
    -0.67
     warr
    -0.64
     traff
    -0.64
    POSITIVE LOGITS
    alion
    1.10
    idy
    1.10
    anooga
    1.05
    ety
    1.02
    acus
    1.00
    aday
    0.98
    andra
    0.98
    alia
    0.97
    reet
    0.96
    jee
    0.96
    Activations Density 0.226%

    No Known Activations