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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 Local
    9. 6-RES_SCL-AJT
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    information related to hardware components

    oai_token-act-pair · gpt-3.5-turbo

    mentions of hardware, particularly updates and specifications

    oai_token-act-pair · gpt-3.5-turboTriggered by @jordan
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scl-ajt/6-res_scl-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
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    Neuron Alignment
    Index
    Value
    % of L₁
    447
    +0.24
    1.1%
    288
    +0.21
    1.0%
    417
    +0.14
    0.7%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    53
    +0.24
    0.10
    326
    +0.21
    0.15
    417
    +0.14
    0.06
    Negative Logits
     Burnett
    -0.79
    olitan
    -0.71
    uel
    -0.67
    naire
    -0.66
    ricular
    -0.65
    deen
    -0.63
    amus
    -0.62
    icago
    -0.62
    osi
    -0.61
    uating
    -0.61
    POSITIVE LOGITS
     wallets
    0.93
     acceleration
    0.90
     accelerated
    0.84
     hardware
    0.83
     keyboards
    0.82
     manufacturers
    0.81
     specs
    0.81
     devices
    0.81
     specifications
    0.80
     accelerator
    0.78
    Activations Density 5.017%

    No Known Activations