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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. 36880
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    Explanations

    references to materials such as aluminum in the context of technology, tools, and materials

    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
    167
    +0.10
    0.5%
    447
    +0.10
    0.5%
    28
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.10
    0.21
    326
    +0.10
    0.20
    289
    +0.10
    -0.01
    Negative Logits
    imaru
    -0.90
    fare
    -0.86
    rists
    -0.81
    ku
    -0.74
    eu
    -0.74
    stakes
    -0.74
    zee
    -0.73
    iped
    -0.72
    liness
    -0.71
    eful
    -0.70
    POSITIVE LOGITS
     foil
    1.13
     alloy
    1.00
     oxide
    0.97
    anguage
    0.97
     Alloy
    0.85
     cans
    0.82
     aluminum
    0.76
     tubes
    0.76
     frames
    0.74
    uminum
    0.71
    Activations Density 6.179%

    No Known Activations