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    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. 3283
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    details related to building Magic: The Gathering decks for various strategies and analyzing the gameplay of specific cards and decks

    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
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    Neuron Alignment
    Index
    Value
    % of L₁
    288
    +0.17
    0.7%
    343
    +0.16
    0.6%
    167
    +0.15
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.17
    0.10
    326
    +0.16
    0.08
    325
    +0.15
    0.06
    Negative Logits
    çīĪ
    -0.94
    ternity
    -0.86
    DonaldTrump
    -0.85
    phrine
    -0.84
    ipient
    -0.78
    interstitial
    -0.75
    alties
    -0.75
    AFTA
    -0.72
     plaintiffs
    -0.71
     antid
    -0.71
    POSITIVE LOGITS
    lists
    1.37
    builder
    1.19
    list
    1.05
    igans
    1.03
    yard
    1.02
    nut
    1.01
    arios
    1.00
    ery
    0.99
    strap
    0.98
     mates
    0.95
    Activations Density 1.497%

    No Known Activations