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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
    11. 31299
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    INDEX
    Explanations

    phrases related to overcoming challenges or obstacles

    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
    Neuron Alignment
    Index
    Value
    % of L₁
    649
    +0.10
    0.5%
    628
    +0.10
    0.5%
    587
    +0.09
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    393
    +0.10
    0.20
    587
    +0.10
    0.11
    333
    +0.09
    0.07
    Negative Logits
    isted
    -0.66
    abet
    -0.66
    arily
    -0.65
    istic
    -0.64
    rouse
    -0.64
    juven
    -0.63
    etus
    -0.63
    GEN
    -0.62
    endants
    -0.62
    Ring
    -0.61
    POSITIVE LOGITS
    inventoryQuantity
    0.71
     waivers
    0.66
     adversity
    0.64
    lace
    0.63
    erella
    0.62
    yrs
    0.61
    heit
    0.61
    ework
    0.60
     Rodgers
    0.57
     Rodrig
    0.57
    Activations Density 8.002%

    No Known Activations