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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 Local
    9. 6-RES_SCL-AJT
    11. 45870
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    Explanations

    technical terms related to machinery or equipment, particularly those related to environmental research, aircraft, and fermentation processes

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scl-ajt/6-res_scl-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
    447
    +0.15
    0.7%
    642
    +0.13
    0.6%
    459
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    642
    +0.15
    0.02
    35
    +0.13
    0.06
    77
    +0.11
    0.06
    Negative Logits
    emonium
    -0.89
    ority
    -0.89
    aurus
    -0.85
    awaru
    -0.79
    aepernick
    -0.78
    utterstock
    -0.76
    CVE
    -0.75
    allery
    -0.75
    auri
    -0.74
    raltar
    -0.74
    POSITIVE LOGITS
    wall
    1.03
    ness
    0.93
    burn
    0.83
    den
    0.82
    cloth
    0.80
     cleaner
    0.80
     cleaners
    0.79
    stal
    0.78
    wallet
    0.77
     erase
    0.76
    Activations Density 8.705%

    No Known Activations