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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. 7254
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    Explanations

    steps or instructions related to cooking processes, particularly those involving boiling or simmering

    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
    +0.15
    0.5%
    271
    +0.13
    0.4%
    67
    +0.13
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.15
    0.15
    326
    +0.13
    0.11
    99
    +0.13
    0.06
    Negative Logits
    eering
    -1.15
    izons
    -1.09
    */(
    -1.04
    ngth
    -1.03
    alez
    -1.03
     ende
    -1.03
    ellen
    -1.00
     agre
    -0.99
    ird
    -0.99
    alling
    -0.98
    POSITIVE LOGITS
     boiling
    1.51
     boils
    1.46
    SourceFile
    1.37
     boiled
    1.36
     boil
    1.23
     simmer
    1.22
     kettle
    1.20
    cipled
    1.07
    water
    1.00
    kens
    0.99
    Activations Density 2.122%

    No Known Activations