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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. 13942
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    Explanations

    locations or places related to events or activities

    oai_token-act-pair · gpt-3.5-turbo

    place names, particularly focusing on the names of countries, states, and cities

    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
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    Neuron Alignment
    Index
    Value
    % of L₁
    668
    +0.17
    0.6%
    63
    +0.14
    0.5%
    28
    +0.14
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    258
    +0.17
    0.08
    659
    +0.14
    0.07
    668
    +0.14
    0.06
    Negative Logits
    Afee
    -0.96
    BOOK
    -0.92
    20439
    -0.86
    bread
    -0.84
    ãĤ½
    -0.84
     bumper
    -0.83
    ãĥij
    -0.80
    LOAD
    -0.80
    bats
    -0.79
    ufact
    -0.79
    POSITIVE LOGITS
    ;;;;;;;;;;;;
    0.98
    .,
    0.97
     Territory
    0.92
     Converted
    0.90
     Jed
    0.89
    jer
    0.89
    isco
    0.88
     Rex
    0.87
     Ely
    0.83
    .;
    0.82
    Activations Density 0.828%

    No Known Activations