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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 chasing or being chased

    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
    +0.18
    1.0%
    326
    +0.13
    0.7%
    549
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    362
    +0.18
    0.17
    393
    +0.13
    0.31
    608
    +0.10
    0.21
    Negative Logits
    animous
    -0.69
    ynski
    -0.64
    galitarian
    -0.61
    uary
    -0.58
    ifice
    -0.58
    igmatic
    -0.57
    ifications
    -0.56
    itent
    -0.55
    emetery
    -0.55
    ocene
    -0.54
    POSITIVE LOGITS
    crow
    0.70
     chase
    0.69
    aways
    0.63
    =-=-=-=-=-=-=-=-
    0.62
    ========
    0.60
    backs
    0.59
    ttes
    0.59
    eers
    0.57
     chasing
    0.57
     pursu
    0.57
    Activations Density 15.861%

    No Known Activations