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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. 12896
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    Explanations

    words related to physical wounds and injuries, especially gunshot wounds

    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
    288
    +0.20
    0.7%
    375
    +0.18
    0.6%
    571
    +0.17
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.20
    0.11
    326
    +0.18
    0.09
    571
    +0.17
    0.06
    Negative Logits
    ordan
    -1.25
    essions
    -1.19
    ullivan
    -1.04
    uchs
    -1.01
    */(
    -0.99
    rador
    -0.98
    urity
    -0.96
     liner
    -0.94
    Ü
    -0.94
    archs
    -0.93
    POSITIVE LOGITS
     wounds
    1.63
     inflicted
    1.20
     wound
    1.11
    robe
    1.07
     wounded
    1.05
     Cerberus
    1.02
     heals
    0.97
     healed
    0.97
     healing
    0.96
    burn
    0.95
    Activations Density 1.456%

    No Known Activations