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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. 13842
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    Explanations

    phrases related to maintaining or losing focus and concentration, especially in sports 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
    271
    +0.12
    0.7%
    255
    +0.10
    0.6%
    353
    +0.09
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    271
    +0.12
    0.10
    255
    +0.10
    0.13
    125
    +0.09
    0.08
    Negative Logits
     indemn
    -0.55
    deals
    -0.55
     arsen
    -0.55
    Anth
    -0.55
     subsid
    -0.54
     subsidized
    -0.53
    DonaldTrump
    -0.53
    vir
    -0.52
    olog
    -0.52
    nec
    -0.51
    POSITIVE LOGITS
    peed
    0.76
     skills
    0.75
     composure
    0.70
     tense
    0.67
     Skills
    0.64
    stro
    0.64
     typing
    0.64
     meditation
    0.63
     mastery
    0.62
     cues
    0.60
    Activations Density 8.874%

    No Known Activations