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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. 8863
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    Explanations

    sports-related terms and rankings in an context of film and media

    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
    Neuron Alignment
    Index
    Value
    % of L₁
    288
    +0.20
    0.8%
    679
    +0.11
    0.5%
    73
    +0.11
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.20
    0.17
    537
    +0.11
    0.10
    575
    +0.11
    0.12
    Negative Logits
    ©¶æ
    -0.85
    ovo
    -0.78
    arching
    -0.77
    aza
    -0.75
    forestation
    -0.74
    abet
    -0.74
     Siber
    -0.73
    isan
    -0.71
    Instruct
    -0.71
    info
    -0.71
    POSITIVE LOGITS
     newcomer
    0.91
     contenders
    0.90
     contender
    0.88
    hip
    0.83
    ãĥĩ
    0.83
     favourites
    0.80
     darling
    0.79
     headlined
    0.78
     attractions
    0.78
    paces
    0.77
    Activations Density 3.704%

    No Known Activations