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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 Local
    9. 6-RES_SCL-AJT
    11. 31438
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    Explanations

    words related to martial arts and physical activities

    oai_token-act-pair · gpt-3.5-turbo

    names and titles related to Japanese culture or individuals

    oai_token-act-pair · gpt-3.5-turboTriggered by @danbraun
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scl-ajt/6-res_scl-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
    253
    +0.13
    0.6%
    447
    +0.11
    0.5%
    538
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.13
    0.28
    659
    +0.11
    0.11
    326
    +0.10
    0.27
    Negative Logits
    asses
    -0.72
    azer
    -0.71
    vable
    -0.71
    byter
    -0.70
    ¯¯¯¯¯¯¯¯
    -0.69
    ðĿ
    -0.69
    STON
    -0.68
    strap
    -0.65
    step
    -0.65
    zone
    -0.64
    POSITIVE LOGITS
    UAL
    0.76
     Owners
    0.71
    ity
    0.66
    e
    0.65
     Rica
    0.65
    apolis
    0.65
    arians
    0.63
     Debor
    0.63
    esan
    0.62
     Firm
    0.60
    Activations Density 11.803%

    No Known Activations