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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 Local
    9. 6-RES_SCL-AJT
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    Explanations

    mentions of cleanup crews, search and rescue operations, and environmental incidents

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scl-ajt/6-res_scl-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
    447
    +0.14
    0.9%
    420
    +0.09
    0.6%
    644
    +0.08
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    554
    +0.14
    -0.18
    34
    +0.09
    0.08
    644
    +0.08
    0.13
    Negative Logits
     hegemony
    -0.63
     autobi
    -0.52
     taboo
    -0.51
     blackmail
    -0.51
     delusions
    -0.50
    ãĥ´
    -0.50
     anonymity
    -0.50
     immortality
    -0.49
     addictive
    -0.49
     dominance
    -0.49
    POSITIVE LOGITS
     crews
    0.93
    Crew
    0.79
     cleanup
    0.74
     ashore
    0.69
     repairs
    0.68
    repair
    0.66
     repairing
    0.64
     excav
    0.64
     excavation
    0.63
     technicians
    0.62
    Activations Density 20.853%

    No Known Activations