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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. 36311
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    INDEX
    Explanations

    violent actions and events, including shootings, firing guns, and encounters with law enforcement

    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
    +0.17
    1.0%
    709
    +0.08
    0.5%
    258
    +0.07
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    703
    +0.17
    0.09
    698
    +0.08
    0.08
    324
    +0.07
    0.08
    Negative Logits
    algia
    -0.56
    orship
    -0.55
     Lutheran
    -0.48
     calendars
    -0.47
    Camp
    -0.47
    soDeliveryDate
    -0.46
     Ticket
    -0.45
    ournals
    -0.45
    iqueness
    -0.45
    unction
    -0.45
    POSITIVE LOGITS
     indiscrim
    0.75
     forcefully
    0.74
     aimed
    0.72
     towards
    0.70
     toward
    0.70
     bursts
    0.68
     burst
    0.67
     targeting
    0.66
     violently
    0.65
     volley
    0.64
    Activations Density 13.768%

    No Known Activations