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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 E2E Recon
    9. 6-RES_SCEFR-AJT
    11. 1445
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    Explanations

    words related to different types of victims, including terms like 'victim,' 'bystander,' 'perpetration,' 'assault,' 'threats,' and 'trauma.'

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scefr-ajt/6-res_scefr-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
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    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    288
    +0.33
    1.0%
    332
    +0.18
    0.5%
    151
    +0.18
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.33
    0.07
    151
    +0.18
    0.06
    590
    +0.18
    0.04
    Negative Logits
    ove
    -1.12
    OPLE
    -1.07
    leaf
    -1.03
    REE
    -1.02
    yip
    -1.01
     provisional
    -0.97
    CLASSIFIED
    -0.95
    obar
    -0.94
     authoritarian
    -0.93
    sterdam
    -0.93
    POSITIVE LOGITS
    izes
    1.49
    izers
    1.48
    izer
    1.47
    ize
    1.28
     victims
    1.23
    ization
    1.23
    vict
    1.21
    izing
    1.20
    istics
    1.19
     victim
    1.17
    Activations Density 0.869%

    No Known Activations