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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
    11. 31882
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    Explanations

    chemical screening processes and medical examinations for substances, diseases, and genetic markers

    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
    218
    +0.09
    0.6%
    447
    +0.07
    0.5%
    225
    +0.07
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    362
    +0.09
    0.13
    270
    +0.07
    0.05
    608
    +0.07
    0.17
    Negative Logits
    stead
    -0.46
    rontal
    -0.45
    Layout
    -0.45
    odic
    -0.44
    lly
    -0.43
    isin
    -0.43
    Else
    -0.43
    hire
    -0.43
    hover
    -0.42
    nect
    -0.42
    POSITIVE LOGITS
     screenings
    0.92
     screening
    0.84
     screened
    0.71
     clearance
    0.55
     screens
    0.52
     mamm
    0.51
     vetting
    0.50
     tests
    0.50
     Screen
    0.48
     checks
    0.47
    Activations Density 11.198%

    No Known Activations