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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. 3023
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    Explanations

    the word "happen" with varying contexts and tenses

    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
    718
    +0.17
    0.6%
    288
    +0.14
    0.5%
    739
    +0.12
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    271
    +0.17
    0.04
    749
    +0.14
    0.04
    665
    +0.12
    0.05
    Negative Logits
    ilts
    -1.08
    edged
    -1.06
    ware
    -0.99
    ordes
    -0.98
    cipl
    -0.96
    olded
    -0.95
    urdy
    -0.94
    adish
    -0.94
    oug
    -0.94
    cius
    -0.93
    POSITIVE LOGITS
    uate
    1.11
    uates
    1.00
    uating
    0.88
    Ñĭ
    0.88
     pandemonium
    0.85
     horribly
    0.85
     happen
    0.85
    uated
    0.84
     anywhere
    0.83
     everywhere
    0.83
    Activations Density 0.700%

    No Known Activations