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    1. Home
    2. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    3. GPT2-Small
    4. Residual Similar CE E2E Recon
    5. 6-RES_SCEFR-AJT
    6. 13881
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    Explanations

    descriptions of physical actions and sequences of events happening in a narrative

    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
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    393
    +0.44
    1.5%
    640
    +0.15
    0.5%
    659
    +0.15
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    484
    +0.44
    0.14
    0
    +0.15
    0.13
    393
    +0.15
    0.14
    Negative Logits
    rain
    -1.02
    ãĥķãĤ¡
    -0.96
    Times
    -0.96
    NULL
    -0.95
    gradation
    -0.94
    emo
    -0.92
    ifferent
    -0.91
    ict
    -0.91
    gress
    -0.90
    uci
    -0.90
    POSITIVE LOGITS
     consequently
    1.80
     therefore
    1.66
     hence
    1.59
     thus
    1.58
     then
    1.57
     secondly
    1.56
     thereby
    1.50
     subsequently
    1.33
     hopefully
    1.32
     possibly
    1.31
    Activations Density 1.655%

    No Known Activations