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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. 2995
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    INDEX
    Explanations

    sports-related information such as player names, team names, positions, and events

    oai_token-act-pair · gpt-3.5-turbo

    sports-related roles or titles, particularly focusing on positions such as midfielder, striker, coach, and forward

    oai_token-act-pair · gpt-3.5-turbo
    Triggered 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
    Neuron Alignment
    Index
    Value
    % of L₁
    288
    +0.19
    0.7%
    447
    +0.13
    0.5%
    66
    +0.13
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    537
    +0.19
    0.06
    104
    +0.13
    0.05
    506
    +0.13
    0.05
    Negative Logits
    ciating
    -0.97
    aber
    -0.95
    emonic
    -0.93
    rip
    -0.92
    oras
    -0.87
    independence
    -0.83
    lez
    -0.82
    rawn
    -0.81
    fw
    -0.81
    verning
    -0.81
    POSITIVE LOGITS
     Percy
    1.06
     Odin
    0.97
     Ethan
    0.95
     Dante
    0.93
     Stacy
    0.91
     Ally
    0.90
     Stev
    0.90
     Alvin
    0.90
     Stephen
    0.89
     Marvin
    0.89
    Activations Density 0.675%

    No Known Activations