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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 L0 E2E Recon
    5. 2-RES_SLEFR-AJT
    6. 5400
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    INDEX
    Explanations

    instances of the word "suffer" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    words related to experiencing negative consequences or hardships

    oai_token-act-pair · gpt-3.5-turboTriggered by @danbraun
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_slefr-ajt/2-res_slefr-ajt
    Prompts (Dashboard)
    12,288 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    46,080
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    apollo-research/Skylion007-openwebtext-tokenizer-gpt2
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Neuron Alignment
    Index
    Value
    % of L₁
    288
    +0.20
    0.8%
    151
    +0.15
    0.5%
    562
    +0.13
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    410
    +0.20
    0.03
    750
    +0.15
    0.03
    158
    +0.13
    0.03
    Negative Logits
    runner
    -0.95
    wed
    -0.93
    law
    -0.92
    ipl
    -0.89
    runners
    -0.87
    sav
    -0.86
    ococ
    -0.85
    cle
    -0.84
    rouse
    -0.83
    reading
    -0.83
    POSITIVE LOGITS
     setbacks
    1.01
    owship
    0.94
    ospace
    0.92
     dearly
    0.90
    senal
    0.89
    ansson
    0.84
     Loss
    0.84
     tremend
    0.84
     adolesc
    0.84
     endured
    0.83
    Activations Density 0.021%

    No Known Activations