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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. 11649
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    terms related to database management, including defining database structures, filling data, performing operations like extract-transform-load (ETL), and managing database schemas

    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
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    Neuron Alignment
    Index
    Value
    % of L₁
    651
    +0.26
    0.8%
    288
    +0.23
    0.8%
    167
    +0.18
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.26
    0.11
    651
    +0.23
    0.09
    326
    +0.18
    0.08
    Negative Logits
    olulu
    -1.10
    angelo
    -1.07
    boards
    -1.05
    board
    -1.00
    boarding
    -0.99
    bilt
    -0.98
    chie
    -0.98
     Eliot
    -0.98
    neg
    -0.98
    AFTA
    -0.96
    POSITIVE LOGITS
    ERG
    1.26
     schema
    1.22
    abases
    1.14
     database
    1.12
    ulous
    1.11
    driver
    1.11
     databases
    1.11
     Database
    1.09
     injections
    1.06
    Driver
    1.05
    Activations Density 1.567%

    No Known Activations