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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. 1413
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    parts of code snippets

    oai_token-act-pair · gpt-3.5-turbo

    specific code and programming language constructs, particularly function definitions and related syntax

    oai_token-act-pair · gpt-3.5-turboTriggered by @jordan
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    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
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    Neuron Alignment
    Index
    Value
    % of L₁
    766
    +0.07
    0.4%
    135
    +0.06
    0.4%
    269
    +0.06
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    701
    +0.07
    0.01
    3
    +0.06
    0.01
    31
    +0.06
    0.01
    Negative Logits
    sites
    -0.51
    parts
    -0.46
    lot
    -0.44
    Aff
    -0.43
    Mart
    -0.43
    finder
    -0.42
    Nut
    -0.41
     Occup
    -0.41
    Featured
    -0.41
    site
    -0.40
    POSITIVE LOGITS
     replay
    0.49
    Ĥİ
    0.47
    atile
    0.46
    arations
    0.46
     *)
    0.45
    ongyang
    0.44
    issance
    0.43
    uminati
    0.43
    ģĸ
    0.43
     triv
    0.42
    Activations Density 0.055%

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