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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. 40254
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    INDEX
    Explanations

    phrases related to different kinds of slicing or cuts in various contexts

    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
    447
    +0.13
    0.6%
    84
    +0.10
    0.5%
    726
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    30
    +0.13
    0.05
    134
    +0.10
    0.08
    99
    +0.09
    0.09
    Negative Logits
    rade
    -0.71
    BAT
    -0.71
    ians
    -0.66
     Hussein
    -0.64
    raid
    -0.64
    rouse
    -0.63
    shire
    -0.62
    founded
    -0.62
    ities
    -0.61
    chemical
    -0.59
    POSITIVE LOGITS
     slices
    1.19
     slice
    1.09
     sliced
    0.82
    slice
    0.78
    anut
    0.77
     slic
    0.76
    azo
    0.75
    tery
    0.73
    meal
    0.72
     bread
    0.72
    Activations Density 7.759%

    No Known Activations