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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. 6103
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    Explanations

    specific numerical values related to cricket matches, such as scores and targets

    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
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    Neuron Alignment
    Index
    Value
    % of L₁
    536
    +0.12
    0.5%
    664
    +0.12
    0.5%
    35
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.12
    0.10
    326
    +0.12
    0.08
    537
    +0.11
    0.05
    Negative Logits
     Sacramento
    -0.85
     Alexandria
    -0.85
    PROV
    -0.80
    hattan
    -0.78
    Rog
    -0.76
    Moscow
    -0.76
    eanor
    -0.73
    Hyper
    -0.72
    icipated
    -0.71
    iterranean
    -0.71
    POSITIVE LOGITS
    icz
    0.94
    glers
    0.91
     cricket
    0.83
     ridden
    0.81
    worms
    0.80
     Cricket
    0.78
     batting
    0.78
    Ö¼
    0.78
    à¥
    0.75
    lessly
    0.74
    Activations Density 1.062%

    No Known Activations