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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
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    Explanations

    911 emergency calls

    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
    326
    +0.14
    0.6%
    235
    +0.11
    0.5%
    288
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    326
    +0.14
    0.05
    288
    +0.11
    0.06
    538
    +0.11
    0.04
    Negative Logits
    protein
    -0.81
    secut
    -0.76
    wikipedia
    -0.76
    raviolet
    -0.73
    laus
    -0.72
    glomer
    -0.70
    hend
    -0.68
    held
    -0.67
    xtap
    -0.66
    jac
    -0.66
    POSITIVE LOGITS
     911
    1.02
     dispatcher
    0.86
    gencies
    0.77
    MH
    0.77
     caller
    0.75
     calls
    0.75
     hotline
    0.71
    ADRA
    0.68
     announcer
    0.67
     emergencies
    0.65
    Activations Density 0.509%

    No Known Activations