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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. 35321
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    Explanations

    words related to geological materials like rocks, minerals, and geological processes

    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
    +0.11
    0.6%
    383
    +0.10
    0.5%
    129
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.11
    0.19
    326
    +0.10
    0.19
    129
    +0.10
    0.07
    Negative Logits
    ndra
    -0.59
    nea
    -0.57
    riot
    -0.56
    LOS
    -0.56
    OTE
    -0.55
    Interstitial
    -0.54
     Toll
    -0.52
    noon
    -0.52
     Fn
    -0.52
    EMA
    -0.51
    POSITIVE LOGITS
     quar
    0.72
     deposited
    0.68
    orgetown
    0.67
     rocks
    0.67
     deposits
    0.65
     paintings
    0.62
    lake
    0.61
    hari
    0.60
     baths
    0.59
     dumps
    0.59
    Activations Density 6.206%

    No Known Activations