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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. 10193
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    INDEX
    Explanations

    inconsistencies or surprising events that evoke strong emotional responses

    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
    Neuron Alignment
    Index
    Value
    % of L₁
    288
    +0.20
    0.7%
    549
    +0.14
    0.5%
    407
    +0.12
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.20
    0.10
    151
    +0.14
    0.08
    195
    +0.12
    0.02
    Negative Logits
    amins
    -1.07
    ramid
    -0.94
    itte
    -0.90
    rha
    -0.88
    eworks
    -0.87
     partic
    -0.85
     opio
    -0.85
    atra
    -0.84
    efficients
    -0.82
     dated
    -0.81
    POSITIVE LOGITS
    ingly
    1.27
     amaz
    1.11
    ĸļ
    1.07
    liness
    1.06
     onlook
    1.01
    ously
    0.95
     Squid
    0.95
    ishment
    0.94
    atics
    0.93
    ãĤ¦ãĤ¹
    0.93
    Activations Density 1.611%

    No Known Activations