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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. 13895
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    Explanations

    physical activities and exercise-related terms, including training, performance, athletes, and different sports

    oai_token-act-pair · gpt-3.5-turbo
    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
    447
    +0.26
    1.1%
    575
    +0.14
    0.6%
    151
    +0.12
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    537
    +0.26
    0.13
    430
    +0.14
    0.16
    465
    +0.12
    0.06
    Negative Logits
    ories
    -0.77
     annexation
    -0.75
    apo
    -0.73
    election
    -0.72
    busters
    -0.67
     Pradesh
    -0.67
     Matter
    -0.66
     Window
    -0.66
    rams
    -0.66
     Election
    -0.65
    POSITIVE LOGITS
     who
    0.92
     extraord
    0.91
    who
    0.82
    esses
    0.81
    ess
    0.77
     FANT
    0.77
    wcs
    0.74
    atically
    0.73
    ynt
    0.73
     enthusi
    0.71
    Activations Density 8.041%

    No Known Activations