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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. 14630
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    Explanations

    mentions of bags or luggage of different types and contexts

    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
    377
    +0.19
    0.6%
    757
    +0.16
    0.5%
    326
    +0.16
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    326
    +0.19
    0.06
    288
    +0.16
    0.07
    415
    +0.16
    0.04
    Negative Logits
    vironment
    -1.22
    issance
    -0.97
    vironments
    -0.94
     Democr
    -0.90
     relations
    -0.89
     submar
    -0.88
     Galile
    -0.86
     spect
    -0.85
    erential
    -0.85
    hower
    -0.84
    POSITIVE LOGITS
    ging
    1.64
    gie
    1.61
    ged
    1.54
    pipe
    1.49
    gery
    1.45
    bags
    1.44
    bag
    1.42
    loads
    1.34
    glers
    1.29
    gers
    1.26
    Activations Density 0.778%

    No Known Activations