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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. 13412
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    Explanations

    information related to different aspects of energy consumption and efficiency

    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
    288
    +0.29
    1.0%
    421
    +0.15
    0.5%
    578
    +0.14
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.29
    0.05
    523
    +0.15
    0.04
    421
    +0.14
    0.04
    Negative Logits
    lihood
    -1.28
    gery
    -1.12
    glers
    -1.11
    ettings
    -1.06
    monary
    -1.01
    iak
    -0.99
    angles
    -0.97
    azeera
    -0.96
    umper
    -0.96
    BuyableInstoreAndOnline
    -0.94
    POSITIVE LOGITS
     drinks
    1.08
     consumption
    1.04
     superpower
    1.01
     Enhancement
    0.99
     metabolism
    0.99
     drink
    0.98
     absorption
    0.98
     energy
    0.98
    plant
    0.97
     installations
    0.95
    Activations Density 0.539%

    No Known Activations