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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
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    locations or events related to specific tragedies or disasters, such as historical sites associated with significant events like terrorist attacks

    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
    127
    +0.10
    0.5%
    133
    +0.09
    0.5%
    414
    +0.08
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.10
    0.09
    281
    +0.09
    0.05
    708
    +0.08
    0.05
    Negative Logits
    xtap
    -0.73
    ETF
    -0.63
    igan
    -0.62
    usterity
    -0.61
    hered
    -0.61
    ly
    -0.60
    à¹
    -0.59
    ND
    -0.59
     inval
    -0.58
    lys
    -0.57
    POSITIVE LOGITS
     rubble
    0.68
     attraction
    0.65
     chapel
    0.65
     Mecca
    0.58
     lodge
    0.57
     Mosque
    0.56
     Eisenhower
    0.56
     attractions
    0.54
     Earthquake
    0.54
    church
    0.54
    Activations Density 0.813%

    No Known Activations