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    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. 2150
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    actions related to ice hockey games

    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
    578
    +0.17
    0.6%
    48
    +0.15
    0.5%
    383
    +0.13
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.17
    0.15
    538
    +0.15
    0.06
    326
    +0.13
    0.12
    Negative Logits
    ibility
    -1.00
    ible
    -0.96
     GOODMAN
    -0.95
     Mond
    -0.95
     IPM
    -0.94
    ayed
    -0.91
    atra
    -0.90
    AIN
    -0.90
    ital
    -0.87
    odes
    -0.87
    POSITIVE LOGITS
     rink
    1.54
     hockey
    1.23
     puck
    1.20
    ipeg
    1.16
     skating
    1.15
     defenseman
    1.15
     goaltender
    1.11
     goalt
    1.10
     goalie
    1.09
     linem
    1.02
    Activations Density 3.098%

    No Known Activations