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    1. Home
    3. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    5. GPT2-Small
    7. Residual Similar CE E2E Recon
    9. 6-RES_SCEFR-AJT
    11. 26
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    INDEX
    Explanations

    lessons to be learned or drawn from various situations or events

    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
    615
    +0.17
    0.6%
    679
    +0.14
    0.5%
    35
    +0.13
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.17
    0.07
    575
    +0.14
    0.06
    615
    +0.13
    0.03
    Negative Logits
    rosso
    -0.88
    ovo
    -0.84
    omin
    -0.79
    endars
    -0.79
    otted
    -0.78
    prus
    -0.78
    ractive
    -0.77
    oscope
    -0.77
    ecided
    -0.76
    FP
    -0.76
    POSITIVE LOGITS
     Learned
    1.37
     lessons
    1.25
     lesson
    1.23
     learned
    1.12
     Teach
    1.08
    ĸļ
    1.07
     learnt
    1.05
    Lear
    1.00
    learn
    0.95
     humility
    0.95
    Activations Density 0.821%

    No Known Activations