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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. 4110
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    phrases related to costs or negative consequences

    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
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    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    539
    +0.16
    0.5%
    239
    +0.14
    0.4%
    568
    +0.13
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    35
    +0.16
    0.05
    285
    +0.14
    0.04
    408
    +0.13
    0.07
    Negative Logits
    riter
    -1.13
    mberg
    -1.13
    iferation
    -1.08
    anche
    -1.06
    ondon
    -1.04
    gon
    -1.03
    dit
    -1.02
    uggle
    -1.02
    umbn
    -1.00
    intend
    -0.99
    POSITIVE LOGITS
     downside
    1.16
    liest
    1.15
     sidel
    1.14
    lier
    1.06
     inflicted
    1.04
     losses
    1.02
    ãĥ©ãĥ³
    1.01
     incurred
    1.01
     losers
    1.01
    SPONSORED
    1.01
    Activations Density 1.073%

    No Known Activations