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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. 1776
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    Explanations

    names mentioned in the text, particularly focusing on individuals

    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
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    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    35
    +0.18
    0.6%
    167
    +0.16
    0.6%
    195
    +0.15
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    326
    +0.18
    0.10
    288
    +0.16
    0.12
    343
    +0.15
    0.06
    Negative Logits
    yip
    -0.96
    xual
    -0.86
    WAYS
    -0.85
    ignty
    -0.84
    EV
    -0.84
    CI
    -0.83
    hips
    -0.83
    ccording
    -0.81
    ndum
    -0.81
    tenance
    -0.79
    POSITIVE LOGITS
    erson
    1.26
    inson
    1.15
    sworth
    1.13
    ible
    1.13
     Grayson
    1.11
    bags
    1.09
    abyte
    1.08
    asus
    1.08
    endish
    1.07
    iness
    1.05
    Activations Density 1.468%

    No Known Activations