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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 criminal activities such as robbery, shootings, and attacks occurring in specific locations

    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
    +0.21
    1.1%
    288
    +0.10
    0.5%
    326
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    362
    +0.21
    0.17
    608
    +0.10
    0.20
    393
    +0.10
    0.25
    Negative Logits
    mite
    -0.76
    Reviewer
    -0.66
    mitt
    -0.65
    Plex
    -0.65
    UTC
    -0.64
    uchin
    -0.62
    mus
    -0.62
    leave
    -0.62
    ankind
    -0.60
    hair
    -0.59
    POSITIVE LOGITS
     robbery
    1.10
     spree
    0.99
     robberies
    0.99
     robbers
    0.77
    bery
    0.77
     robber
    0.76
    eering
    0.75
     burglary
    0.75
     robbing
    0.70
     rampage
    0.67
    Activations Density 8.912%

    No Known Activations