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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. 4743
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    Explanations

    descriptions related to weapons, battles, and physical combat

    oai_token-act-pair · gpt-3.5-turbo

    words associated with weapons and combat

    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
    Embeds
    IFrame
    Link
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    Neuron Alignment
    Index
    Value
    % of L₁
    447
    +0.17
    0.8%
    221
    +0.11
    0.5%
    549
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    326
    +0.17
    0.23
    221
    +0.11
    0.08
    549
    +0.11
    0.08
    Negative Logits
    leep
    -0.83
     Atmosp
    -0.81
     Alam
    -0.77
     Communities
    -0.74
    cation
    -0.72
    greSQL
    -0.71
     Spaces
    -0.70
    Newsletter
    -0.69
     Brune
    -0.69
     Skies
    -0.68
    POSITIVE LOGITS
     wielded
    1.24
     wielding
    1.14
     blade
    1.10
     blades
    1.08
    blade
    1.07
    axe
    1.02
    hammer
    1.01
     forged
    0.99
     barb
    0.99
     protr
    0.98
    Activations Density 10.451%

    No Known Activations