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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. 7411
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    Explanations

    TV shows and events mentions in a specific format likely related to schedules and programming

    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
    7
    +0.16
    0.7%
    211
    +0.10
    0.5%
    402
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    326
    +0.16
    0.02
    373
    +0.10
    -0.01
    7
    +0.10
    0.02
    Negative Logits
     Cind
    -0.77
    letes
    -0.77
     Miracle
    -0.75
     Tribune
    -0.69
    mson
    -0.68
    Reference
    -0.67
    doi
    -0.66
     Dracula
    -0.66
     Ronaldo
    -0.65
    tie
    -0.65
    POSITIVE LOGITS
    NER
    1.13
    ET
    1.13
    TERN
    1.12
    AL
    1.08
    ISH
    1.08
    ERAL
    1.06
    NING
    1.04
    CLA
    1.03
    NA
    1.02
    IENT
    1.01
    Activations Density 0.118%

    No Known Activations