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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. 35176
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    Explanations

    descriptions of scenes or events in a historical or narrative context, potentially focusing on military settings

    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
    +0.15
    0.7%
    640
    +0.14
    0.7%
    393
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    124
    +0.15
    0.20
    537
    +0.14
    0.18
    152
    +0.10
    0.21
    Negative Logits
     disruptive
    -0.77
     upfront
    -0.70
     Cullen
    -0.70
     Chip
    -0.70
     Grimes
    -0.68
     proactive
    -0.68
     analytics
    -0.68
     targeted
    -0.68
     antiv
    -0.68
     Wallet
    -0.67
    POSITIVE LOGITS
    general
    0.93
    lore
    0.92
    sent
    0.90
    hist
    0.90
    bearing
    0.88
    spr
    0.85
    tre
    0.85
    fields
    0.85
    lance
    0.85
    spring
    0.85
    Activations Density 6.967%

    No Known Activations