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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. 31963
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    Explanations

    indications of tragedy or physical harm, such as casualties, injuries, fallen individuals, ruins, or slain soldiers

    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
    288
    +0.11
    0.7%
    727
    +0.09
    0.5%
    339
    +0.09
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.11
    0.23
    549
    +0.09
    0.07
    284
    +0.09
    0.09
    Negative Logits
    ramid
    -0.64
    osc
    -0.62
    ORT
    -0.55
    orted
    -0.54
    elling
    -0.53
    yrinth
    -0.53
    eering
    -0.52
    ffield
    -0.52
    Hack
    -0.51
    chlor
    -0.51
    POSITIVE LOGITS
     comrade
    0.60
     remnants
    0.58
     trees
    0.57
    enary
    0.57
     angels
    0.57
     Ashes
    0.56
     corpses
    0.55
     Empires
    0.55
     comrades
    0.54
     vets
    0.54
    Activations Density 8.886%

    No Known Activations