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    1. Home
    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. 10913
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    Explanations

    dramatic or intense words that are related to confrontations or conflicts

    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
    354
    +0.16
    0.6%
    403
    +0.12
    0.5%
    613
    +0.12
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    354
    +0.16
    0.10
    659
    +0.12
    0.09
    41
    +0.12
    0.07
    Negative Logits
     Cosponsors
    -1.02
    ushima
    -0.99
    achev
    -0.91
    rero
    -0.87
    Äĩ
    -0.87
    ģ«
    -0.80
    ronic
    -0.79
    worldly
    -0.79
    reddits
    -0.76
    forge
    -0.76
    POSITIVE LOGITS
    neck
    0.88
    puff
    0.86
    ophon
    0.79
    ops
    0.78
     è£ıè
    0.77
    jong
    0.76
    instead
    0.76
    ]}
    0.75
    swick
    0.75
    ief
    0.74
    Activations Density 2.582%

    No Known Activations