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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. 7037
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    Explanations

    occurrences of words related to employment actions like "firing" and "termination."

    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
    +0.24
    0.7%
    167
    +0.17
    0.5%
    566
    +0.16
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    531
    +0.24
    0.04
    664
    +0.17
    0.04
    566
    +0.16
    0.04
    Negative Logits
    lihood
    -1.21
    aque
    -1.01
    zzo
    -1.00
    ournals
    -0.99
    Ware
    -0.97
    DonaldTrump
    -0.96
     Towns
    -0.96
    eday
    -0.94
    arger
    -0.94
     amen
    -0.92
    POSITIVE LOGITS
    balls
    1.28
    lessly
    1.25
    bomb
    1.16
    bats
    1.15
    urate
    1.13
    gage
    1.10
    starting
    1.10
    flies
    1.08
     firing
    1.08
    strap
    1.08
    Activations Density 1.116%

    No Known Activations