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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. 32601
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    Explanations

    long strings of words separated by punctuation marks, potentially focusing on thematic content such as technological advancements, mental health trends, or sports descriptions

    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
    +0.12
    0.7%
    393
    +0.10
    0.6%
    450
    +0.09
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    640
    +0.12
    0.51
    255
    +0.10
    0.27
    283
    +0.09
    0.10
    Negative Logits
    cott
    -0.61
    uta
    -0.54
    adelphia
    -0.54
    mberg
    -0.53
    ctuary
    -0.53
    scribe
    -0.52
    tnc
    -0.51
    ;;;;;;;;;;;;
    -0.51
     nutshell
    -0.50
    arton
    -0.50
    POSITIVE LOGITS
    than
    1.06
     than
    0.92
     Than
    0.63
    erous
    0.63
     perhaps
    0.62
     wiser
    0.61
     possibly
    0.61
    gradient
    0.55
     technologically
    0.54
     dens
    0.53
    Activations Density 18.577%

    No Known Activations