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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. 6975
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    Explanations

    instances where the concept of patience and impatience is discussed

    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
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    195
    +0.12
    0.5%
    288
    +0.12
    0.5%
    312
    +0.12
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.12
    0.07
    271
    +0.12
    0.04
    195
    +0.12
    0.02
    Negative Logits
    ramid
    -1.20
    rim
    -0.92
    tein
    -0.88
    rooms
    -0.87
    inem
    -0.86
    ahead
    -0.85
    Scene
    -0.83
    orn
    -0.83
    uries
    -0.82
    lyn
    -0.79
    POSITIVE LOGITS
     patience
    1.17
     patiently
    1.13
     persever
    0.90
     impatient
    0.86
     delay
    0.82
     delays
    0.80
     Nadu
    0.76
     Pend
    0.74
     pigeon
    0.73
     Sta
    0.73
    Activations Density 0.865%

    No Known Activations