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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. 5922
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    Explanations

    phrases containing strong emotional or subjective language with potential negative connotations

    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
    6
    +0.10
    0.5%
    683
    +0.10
    0.5%
    577
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    293
    +0.10
    0.17
    182
    +0.10
    0.16
    338
    +0.10
    0.16
    Negative Logits
     mathemat
    -0.96
     carbohyd
    -0.88
    wana
    -0.82
    raviolet
    -0.80
     disadvant
    -0.79
     satell
    -0.77
     mosqu
    -0.75
     myster
    -0.71
     incent
    -0.69
     eleph
    -0.68
    POSITIVE LOGITS
    ï¸ı
    1.06
    ï¸
    0.81
    ship
    0.79
     istg
    0.78
    女
    0.77
    âĹ¼
    0.75
    003
    0.74
    ··
    0.74
    ç
    0.74
    ski
    0.74
    Activations Density 1.476%

    No Known Activations