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    2. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    3. GPT2-Small
    4. Residual Similar CE E2E Recon
    5. 6-RES_SCEFR-AJT
    6. 795
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    Explanations

    personal pronouns 'you' and contractions like 'you're' and 'you've'

    oai_token-act-pair · gpt-3.5-turbo

    the pronoun "you" in various contexts

    oai_token-act-pair · gpt-3.5-turboTriggered 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
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    Neuron Alignment
    Index
    Value
    % of L₁
    393
    +0.27
    0.9%
    267
    +0.15
    0.5%
    526
    +0.14
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    267
    +0.27
    0.06
    514
    +0.15
    0.06
    156
    +0.14
    0.06
    Negative Logits
    dimension
    -0.95
    arget
    -0.86
    hyde
    -0.85
     Dimension
    -0.85
    capacity
    -0.83
    Balt
    -0.81
    terness
    -0.81
    ausible
    -0.81
     Ambro
    -0.80
     Different
    -0.80
    POSITIVE LOGITS
    're
    1.87
    've
    1.52
     guys
    1.34
     guessed
    1.31
     want
    1.29
     wanna
    1.28
     wish
    1.27
    ever
    1.20
     hear
    1.19
    'll
    1.19
    Activations Density 0.391%

    No Known Activations