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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. 8595
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    Explanations

    information related to medical conditions and treatments involving bones and minerals

    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
    549
    +0.18
    0.6%
    515
    +0.15
    0.5%
    62
    +0.15
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    326
    +0.18
    0.08
    288
    +0.15
    0.09
    549
    +0.15
    0.05
    Negative Logits
    atcher
    -1.07
    sers
    -1.04
    eanor
    -1.02
    inen
    -1.02
    inel
    -1.00
    dp
    -0.99
    ilities
    -0.98
    ilts
    -0.95
    iating
    -0.95
    sol
    -0.90
    POSITIVE LOGITS
     marrow
    2.08
    Bone
    1.54
    bones
    1.51
    bone
    1.41
     fide
    1.36
     bones
    1.29
    clad
    1.19
     broth
    1.14
    tones
    1.14
    headed
    1.13
    Activations Density 1.187%

    No Known Activations