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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. 8097
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    Explanations

    words related to physical structures or locations, specifically focusing on various types of tunnels

    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
    +0.30
    1.2%
    326
    +0.19
    0.8%
    515
    +0.17
    0.7%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.30
    0.11
    326
    +0.19
    0.07
    325
    +0.17
    0.07
    Negative Logits
    orian
    -0.84
    EAR
    -0.84
    itia
    -0.82
     Liberties
    -0.80
    oln
    -0.80
    ģĸ
    -0.78
    THING
    -0.76
    Ģ
    -0.76
     BALL
    -0.74
    zona
    -0.74
    POSITIVE LOGITS
     tunnels
    1.06
    ibur
    1.06
     tunnel
    1.04
     entrances
    1.02
     boring
    1.01
    vision
    1.01
    nels
    0.99
    geon
    0.95
    WAY
    0.88
     dug
    0.88
    Activations Density 0.866%

    No Known Activations