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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. 32458
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    Explanations

    specific mentions of employees in relation to various contexts, such as incidents, management, or actions

    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
    +0.28
    1.3%
    167
    +0.15
    0.7%
    679
    +0.13
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    762
    +0.28
    0.19
    224
    +0.15
    0.12
    75
    +0.13
    0.09
    Negative Logits
     horr
    -0.72
    COMPLE
    -0.69
    trop
    -0.69
    soon
    -0.66
    Pac
    -0.65
     Cause
    -0.65
    caster
    -0.64
    rous
    -0.63
    las
    -0.63
    olithic
    -0.62
    POSITIVE LOGITS
     Employees
    0.78
    arers
    0.77
    onomy
    0.75
     cafeteria
    0.73
    hips
    0.67
     employees
    0.67
     personnel
    0.67
     unions
    0.67
     employee
    0.63
    utenant
    0.62
    Activations Density 6.523%

    No Known Activations