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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
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    Explanations

    information related to driving actions and incidents like crashes, speeding, and violations

    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
    501
    +0.16
    0.5%
    570
    +0.15
    0.5%
    346
    +0.14
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    665
    +0.16
    0.06
    89
    +0.15
    0.05
    761
    +0.14
    0.05
    Negative Logits
     Flavoring
    -1.42
    tle
    -1.25
    xus
    -1.20
    romeda
    -1.18
    sonian
    -1.14
    reement
    -1.11
    ère
    -1.07
    rical
    -1.05
    ellen
    -1.05
    xual
    -1.04
    POSITIVE LOGITS
     simulator
    1.34
    boat
    1.27
    boats
    1.23
     patrol
    1.19
    wheel
    1.18
     hazard
    1.12
     away
    1.11
    wagen
    1.11
     wheel
    1.11
    bike
    1.10
    Activations Density 0.952%

    No Known Activations