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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 CE E2E Recon
    5. 6-RES_SCEFR-AJT
    6. 1718
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    names or surnames of people likely associated with legal matters or shares information related explicitly to financial events or legal proceedings

    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
    276
    +0.15
    0.6%
    423
    +0.14
    0.5%
    302
    +0.13
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    326
    +0.15
    0.12
    659
    +0.14
    0.10
    232
    +0.13
    0.09
    Negative Logits
    phia
    -0.91
    ICAN
    -0.91
    ãĥ¤
    -0.90
     Independence
    -0.86
    ãĥ¯ãĥ³
    -0.81
     FRE
    -0.80
    FT
    -0.79
     eleph
    -0.78
    apter
    -0.77
    ãĤ·ãĥ£
    -0.77
    POSITIVE LOGITS
    lasses
    1.66
    nam
    1.22
    lass
    1.22
    jin
    1.16
    regate
    1.14
    oing
    1.13
    ularity
    1.13
    sung
    1.09
    aji
    1.08
    jiang
    1.05
    Activations Density 2.182%

    No Known Activations