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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. 39451
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    Explanations

    phrases related to high levels of tension or stress in various contexts

    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
    +0.27
    1.6%
    288
    +0.11
    0.7%
    326
    +0.07
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    6
    +0.27
    0.13
    160
    +0.11
    0.17
    551
    +0.07
    0.08
    Negative Logits
    issance
    -0.65
    prints
    -0.58
    cise
    -0.57
    look
    -0.54
    sites
    -0.54
    sure
    -0.53
    ufact
    -0.53
     nominated
    -0.53
    glas
    -0.53
    forms
    -0.52
    POSITIVE LOGITS
     tension
    0.74
     reliever
    0.63
     cooker
    0.61
     boil
    0.58
     tensions
    0.57
     Vaugh
    0.54
     Gau
    0.52
    bh
    0.52
     pneum
    0.52
    Ku
    0.52
    Activations Density 9.303%

    No Known Activations