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    2. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    3. GPT2-Small
    4. Residual Similar CE Local
    5. 6-RES_SCL-AJT
    6. 32879
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    INDEX
    Explanations

    mentions of law enforcement activities and public safety concerns

    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
    480
    +0.43
    3.7%
    447
    +0.20
    1.8%
    101
    +0.06
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    480
    +0.43
    -0.04
    266
    +0.20
    0.51
    351
    +0.06
    0.05
    Negative Logits
     whilst
    -0.51
    Âł
    -0.50
    ↵Âł
    -0.46
     fucking
    -0.44
     Âł
    -0.44
    !".
    -0.44
     ****
    -0.43
     Whilst
    -0.42
    )!
    -0.42
    ´
    -0.42
    POSITIVE LOGITS
     nonprofits
    0.46
     federally
    0.45
     federal
    0.42
     statewide
    0.41
     POLITICO
    0.41
     overseen
    0.40
     nonprofit
    0.39
     plaintiffs
    0.39
     lawmakers
    0.39
     staffers
    0.38
    Activations Density 33.787%

    No Known Activations