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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. 6442
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    Explanations

    information related to bands and musicians, including activities such as recording, touring, and releasing albums

    oai_token-act-pair · gpt-3.5-turbo

    instances and references related to the term "band"

    oai_token-act-pair · gpt-3.5-turboTriggered by @danbraun
    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
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    Neuron Alignment
    Index
    Value
    % of L₁
    288
    +0.22
    0.7%
    526
    +0.16
    0.5%
    679
    +0.15
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.22
    0.07
    495
    +0.16
    0.05
    346
    +0.15
    0.04
    Negative Logits
     Martial
    -0.97
    hower
    -0.95
    matter
    -0.95
    phal
    -0.93
     Gard
    -0.85
     Toll
    -0.85
    flame
    -0.84
     Miche
    -0.81
    lda
    -0.81
     matter
    -0.80
    POSITIVE LOGITS
    leader
    1.84
    mates
    1.72
    camp
    1.72
    mate
    1.43
    wagon
    1.42
    width
    1.39
    members
    1.38
    ictionary
    1.36
     mates
    1.36
    ynski
    1.31
    Activations Density 0.923%

    No Known Activations