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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. 1709
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    Explanations

    phrases expressing exhaustion or frustration

    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
    710
    +0.15
    0.5%
    437
    +0.15
    0.5%
    666
    +0.15
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    666
    +0.15
    0.04
    669
    +0.15
    0.04
    557
    +0.15
    0.04
    Negative Logits
     vulner
    -1.07
    soDeliveryDate
    -1.07
    ramid
    -0.99
    foundation
    -0.99
    isites
    -0.96
    neau
    -0.95
    nostic
    -0.94
     contribution
    -0.94
    isite
    -0.94
     resemb
    -0.94
    POSITIVE LOGITS
     complaining
    1.20
     seeing
    1.16
     hearing
    1.07
     Dying
    1.06
     whining
    1.02
     Feeling
    1.01
     humiliation
    1.01
     frustration
    0.98
     waiting
    0.98
     Dil
    0.96
    Activations Density 0.647%

    No Known Activations