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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
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    terms related to environmental issues, particularly focusing on emissions reduction strategies and discussions regarding carbon dioxide and methane emissions

    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
    +0.26
    0.9%
    570
    +0.16
    0.5%
    12
    +0.15
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.26
    0.09
    439
    +0.16
    0.04
    12
    +0.15
    0.04
    Negative Logits
    inosaur
    -1.21
    orkshire
    -1.16
    quickShipAvailable
    -1.09
    HCR
    -1.02
    ivas
    -1.00
    eele
    -0.98
     Else
    -0.98
    ctica
    -0.96
    afort
    -0.96
    yss
    -0.95
    POSITIVE LOGITS
     emissions
    1.53
     emitting
    1.40
     emission
    1.34
     emit
    1.26
     emitted
    1.15
     gases
    1.13
     dioxide
    1.08
     emits
    1.07
     reductions
    1.05
    uting
    1.05
    Activations Density 1.324%

    No Known Activations