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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 Local
    5. 6-RES_SCL-AJT
    6. 34708
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    INDEX
    Explanations

    mentions of medical terms and fictional elements like monsters or magical creatures

    oai_token-act-pair · gpt-3.5-turbo
    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
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    578
    +0.15
    0.6%
    447
    +0.14
    0.6%
    208
    +0.13
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    138
    +0.15
    0.50
    447
    +0.14
    0.52
    64
    +0.13
    -0.21
    Negative Logits
     Pru
    -0.94
     conflic
    -0.88
     behavi
    -0.88
     warr
    -0.83
     exha
    -0.83
     captcha
    -0.82
     cannabin
    -0.82
     citiz
    -0.81
     antioxid
    -0.78
    rongh
    -0.78
    POSITIVE LOGITS
    avier
    1.28
    posed
    1.26
    press
    1.24
    imity
    1.23
    actly
    1.23
    aminer
    1.22
    odus
    1.19
    posure
    1.16
    ample
    1.16
    ternal
    1.10
    Activations Density 12.909%

    No Known Activations