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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. 604
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    Explanations

    references to programs, regulations, and principles categorized as 'basic'

    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
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    Neuron Alignment
    Index
    Value
    % of L₁
    99
    +0.17
    0.6%
    288
    +0.16
    0.6%
    616
    +0.15
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    99
    +0.17
    0.05
    616
    +0.16
    0.04
    404
    +0.15
    0.04
    Negative Logits
    igham
    -1.02
    isSpecialOrderable
    -0.97
    pload
    -0.93
    IDA
    -0.91
    ibal
    -0.90
     Tycoon
    -0.89
    estern
    -0.86
    romeda
    -0.86
    ork
    -0.82
    arf
    -0.79
    POSITIVE LOGITS
     necessities
    1.39
     tenets
    1.28
    lly
    1.17
    tenance
    1.09
    basic
    1.07
    essential
    1.06
     arithmetic
    1.02
     principles
    1.00
    gradient
    0.99
     essentials
    0.97
    Activations Density 0.731%

    No Known Activations