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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. 5876
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    Explanations

    phrases related to physical injuries, especially fractures and injuries caused by physical impact

    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
    302
    +0.05
    0.6%
    195
    +0.04
    0.4%
    153
    +0.04
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    549
    +0.05
    0.05
    288
    +0.04
    0.08
    702
    +0.04
    0.04
    Negative Logits
    roller
    -0.32
    perm
    -0.27
     spons
    -0.27
    chair
    -0.27
    rug
    -0.26
    ophe
    -0.26
     scramble
    -0.26
    agascar
    -0.26
    leg
    -0.26
    alian
    -0.25
    POSITIVE LOGITS
    ittal
    0.32
     fracturing
    0.30
    ©¶æ¥µ
    0.28
    enegger
    0.28
     fractures
    0.27
    rupal
    0.27
    bang
    0.26
     Bowen
    0.25
    ĸļ
    0.25
     Devi
    0.25
    Activations Density 0.905%

    No Known Activations