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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
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    information related to technology and advancements in gadgets, especially in the context of drones, virtual reality, AI, and devices like smartphones and laptops

    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
    +0.20
    0.9%
    481
    +0.12
    0.6%
    620
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    362
    +0.20
    0.14
    608
    +0.12
    0.21
    635
    +0.11
    0.09
    Negative Logits
     Transcript
    -0.79
    chan
    -0.76
    CHAT
    -0.73
     Rasmussen
    -0.71
    iculty
    -0.67
     Lodge
    -0.67
     Lester
    -0.67
     recount
    -0.65
    pedia
    -0.65
     Soros
    -0.65
    POSITIVE LOGITS
     OEM
    1.08
     flagship
    1.05
     architectures
    0.95
     hardware
    0.92
     Jaguar
    0.90
     GPUs
    0.90
    amsung
    0.89
     chipset
    0.88
     innovation
    0.88
     automakers
    0.87
    Activations Density 16.952%

    No Known Activations