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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. 35701
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    Explanations

    phrases related to catastrophic events or severe consequences

    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
    1.1%
    288
    +0.10
    0.6%
    418
    +0.08
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    77
    +0.19
    0.09
    362
    +0.10
    0.11
    453
    +0.08
    0.09
    Negative Logits
    cius
    -0.66
    etch
    -0.62
    walk
    -0.56
    ickr
    -0.56
    agine
    -0.56
    uni
    -0.55
    cipl
    -0.55
    istry
    -0.54
    erential
    -0.53
    yard
    -0.53
    POSITIVE LOGITS
     havoc
    0.80
     devastation
    0.71
     consequences
    0.71
     impacts
    0.69
     devast
    0.68
     blow
    0.66
     consequence
    0.64
    ricane
    0.64
     catastrophic
    0.63
     Katrina
    0.63
    Activations Density 12.774%

    No Known Activations