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    2. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    3. GPT2-Small
    4. Residual Similar CE E2E Recon
    5. 6-RES_SCEFR-AJT
    6. 665
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    Explanations

    references to time periods, particularly historical eras and centuries

    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
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    Neuron Alignment
    Index
    Value
    % of L₁
    288
    +0.28
    0.9%
    624
    +0.14
    0.5%
    230
    +0.14
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    689
    +0.28
    0.05
    146
    +0.14
    0.04
    132
    +0.14
    0.04
    Negative Logits
    hod
    -1.30
    iquid
    -1.25
    atem
    -1.21
    etsk
    -1.17
    agged
    -1.15
    govtrack
    -1.13
    ippi
    -1.07
    imov
    -1.07
    Downloadha
    -1.05
    yang
    -1.05
    POSITIVE LOGITS
     onwards
    1.15
     onward
    1.10
     hindsight
    1.06
     BCE
    1.04
     Revival
    1.00
     Inquisition
    0.99
     Circus
    0.97
     Heritage
    0.95
     Typhoon
    0.95
     Clicker
    0.93
    Activations Density 0.690%

    No Known Activations