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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. 46014
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    Explanations

    medical conditions and health-related terms, specifically focusing on chronic diseases and physical/mental health issues

    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
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    447
    +0.16
    0.7%
    302
    +0.12
    0.6%
    285
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.16
    0.17
    456
    +0.12
    0.06
    261
    +0.11
    0.05
    Negative Logits
    */(
    -0.91
    ramid
    -0.89
    ertodd
    -0.83
    ansk
    -0.77
    animous
    -0.77
    imates
    -0.75
    govtrack
    -0.75
    imov
    -0.73
    hammad
    -0.71
    Ĭ±
    -0.70
    POSITIVE LOGITS
     traumatic
    0.88
    led
    0.84
     inflammation
    0.81
     diseases
    0.79
    pain
    0.79
    ling
    0.76
     disease
    0.74
     pain
    0.73
     obstruct
    0.73
    ity
    0.72
    Activations Density 6.818%

    No Known Activations