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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. 144
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    Explanations

    instances of medical injuries related to sports, especially tears or ruptures

    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
    287
    +0.03
    0.5%
    701
    +0.03
    0.5%
    220
    +0.03
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.03
    0.07
    326
    +0.03
    0.05
    365
    +0.03
    0.03
    Negative Logits
    enment
    -0.20
    eral
    -0.19
    found
    -0.18
    screen
    -0.18
    hower
    -0.17
    egg
    -0.17
    namese
    -0.17
    ipl
    -0.17
    nery
    -0.17
    ered
    -0.17
    POSITIVE LOGITS
    osure
    0.21
    ENGTH
    0.20
     Creed
    0.19
     Skydragon
    0.19
    çīĪ
    0.18
    å½
    0.18
     streng
    0.18
    acies
    0.18
     Norn
    0.17
     Achilles
    0.17
    Activations Density 0.358%

    No Known Activations