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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. 11262
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    information related to mobile phones, cell phone usage, and technology

    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
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    99
    +0.19
    0.6%
    288
    +0.17
    0.6%
    153
    +0.16
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    99
    +0.19
    0.04
    288
    +0.17
    0.04
    26
    +0.16
    0.04
    Negative Logits
    umar
    -1.12
    merce
    -1.11
    laus
    -1.11
    ãĥĥãĥĪ
    -1.09
    xual
    -1.03
    olulu
    -1.03
    olkien
    -1.03
    yip
    -0.99
     Logged
    -0.96
    xtap
    -0.96
    POSITIVE LOGITS
    phones
    1.49
    ular
    1.39
    mates
    1.29
    mate
    1.28
    estial
    1.25
    ars
    1.25
     phones
    1.15
    esis
    1.14
    oths
    1.14
    aris
    1.14
    Activations Density 0.441%

    No Known Activations