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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. 13721
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    Explanations

    words related to suffering or negative consequences

    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
    1.2%
    288
    +0.12
    0.5%
    151
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    362
    +0.27
    0.14
    385
    +0.12
    0.13
    608
    +0.10
    0.16
    Negative Logits
    uren
    -0.67
    sports
    -0.67
    ococ
    -0.64
    sure
    -0.63
    wed
    -0.63
    cluding
    -0.62
    rouse
    -0.60
    eton
    -0.59
    apo
    -0.59
    corn
    -0.57
    POSITIVE LOGITS
     setbacks
    0.90
    ansson
    0.78
     inflicted
    0.78
     losses
    0.77
     fools
    0.76
     horrend
    0.73
    lehem
    0.72
     Palest
    0.72
     horribly
    0.72
     relegation
    0.71
    Activations Density 10.366%

    No Known Activations