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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 Local
    9. 6-RES_SCL-AJT
    11. 31747
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    Explanations

    phrases related to drowning and being submerged in water

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scl-ajt/6-res_scl-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
    447
    +0.19
    0.8%
    178
    +0.16
    0.7%
    414
    +0.16
    0.7%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    178
    +0.19
    0.16
    1
    +0.16
    0.10
    656
    +0.16
    0.08
    Negative Logits
    rity
    -0.67
     permissions
    -0.67
     easing
    -0.67
     deviation
    -0.66
    raviolet
    -0.63
    ################
    -0.63
     directives
    -0.62
     scheduling
    -0.62
    nec
    -0.61
    ENA
    -0.60
    POSITIVE LOGITS
     drown
    1.05
     drowning
    1.00
    leneck
    0.89
     Squid
    0.83
    melon
    0.81
     drowned
    0.80
    oling
    0.76
    tub
    0.76
    pedia
    0.75
    icates
    0.75
    Activations Density 8.395%

    No Known Activations