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    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. 4657
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    Explanations

    phrases related to military operations and strategies, specifically focused on military personnel and actions

    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
    288
    +0.09
    0.5%
    270
    +0.08
    0.5%
    420
    +0.08
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    503
    +0.09
    0.05
    619
    +0.08
    0.07
    278
    +0.08
    0.05
    Negative Logits
     Dragonbound
    -0.60
    etheless
    -0.60
     Millennium
    -0.57
    SHIP
    -0.56
     Potato
    -0.55
     noodles
    -0.54
    hower
    -0.52
    ãĥ³ãĤ¸
    -0.51
    SEA
    -0.50
     Winchester
    -0.49
    POSITIVE LOGITS
    utations
    0.74
    asus
    0.73
    roup
    0.73
    onies
    0.69
    reci
    0.69
    arts
    0.67
    raved
    0.66
    utation
    0.66
    orters
    0.64
    enery
    0.64
    Activations Density 8.861%

    No Known Activations