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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

    statistical data and descriptions of sporting events

    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
    +0.21
    1.3%
    481
    +0.09
    0.6%
    48
    +0.08
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    193
    +0.21
    0.10
    328
    +0.09
    0.06
    48
    +0.08
    0.10
    Negative Logits
    anson
    -0.51
    sth
    -0.51
    EngineDebug
    -0.49
    gur
    -0.48
    zos
    -0.48
    yss
    -0.48
    heit
    -0.48
    sett
    -0.47
    Marx
    -0.47
    ombat
    -0.45
    POSITIVE LOGITS
     teammate
    0.62
     flo
    0.59
     coach
    0.58
     teammates
    0.57
     scorer
    0.55
     batted
    0.54
     extraord
    0.52
     AVG
    0.52
     coached
    0.52
     coaches
    0.51
    Activations Density 12.625%

    No Known Activations