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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. 6037
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    Explanations

    actions that involve physically exerting force or pressure

    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
    526
    +0.14
    0.5%
    679
    +0.13
    0.5%
    450
    +0.12
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    282
    +0.14
    0.05
    468
    +0.13
    0.05
    665
    +0.12
    0.06
    Negative Logits
    abol
    -0.94
     Recogn
    -0.93
    abad
    -0.91
    Interstitial
    -0.91
     disapp
    -0.82
    uster
    -0.81
    omial
    -0.81
    irect
    -0.80
     Receiver
    -0.78
     redes
    -0.78
    POSITIVE LOGITS
    chairs
    1.10
     push
    1.07
    down
    1.05
    back
    1.05
     harder
    1.04
    olicy
    1.04
     pushing
    1.03
    berman
    1.02
     forward
    1.01
     tempo
    1.00
    Activations Density 1.135%

    No Known Activations