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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
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    Explanations

    mentions and descriptions of different types of food

    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
    +0.27
    1.0%
    128
    +0.17
    0.7%
    35
    +0.12
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    128
    +0.27
    0.15
    213
    +0.17
    0.07
    162
    +0.12
    0.07
    Negative Logits
     Wink
    -0.99
    20439
    -0.86
     Freem
    -0.84
    aird
    -0.82
    itudinal
    -0.79
     Painter
    -0.79
     Moff
    -0.78
     Overt
    -0.78
    orp
    -0.78
    âĸ¬
    -0.77
    POSITIVE LOGITS
    stuff
    1.39
     eaten
    1.21
    borne
    1.19
    corn
    1.15
    grain
    1.07
     tasted
    1.06
     additives
    1.06
     poisoning
    1.03
     dehyd
    1.02
     allergies
    1.01
    Activations Density 9.669%

    No Known Activations