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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. 35494
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    Explanations

    phrases related to literal fire or metaphorical intensity, such as "catch on fire" or "under heavy fire"

    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
    442
    +0.10
    0.6%
    447
    +0.10
    0.6%
    288
    +0.10
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    16
    +0.10
    0.06
    551
    +0.10
    0.06
    355
    +0.10
    0.04
    Negative Logits
    sembly
    -0.66
    laus
    -0.65
    Birth
    -0.60
    undo
    -0.59
     Calculator
    -0.56
    Gi
    -0.55
    yrinth
    -0.54
     Citizen
    -0.54
    atem
    -0.53
    akeru
    -0.53
    POSITIVE LOGITS
    storm
    0.95
    brand
    0.83
    flies
    0.81
    cakes
    0.79
    storms
    0.79
     exting
    0.78
    balls
    0.77
    locks
    0.76
    proof
    0.75
    bomb
    0.74
    Activations Density 4.714%

    No Known Activations