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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

    references to antagonists or negative characters, specifically focusing on characters portrayed as villains

    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
    326
    +0.18
    0.7%
    151
    +0.17
    0.6%
    288
    +0.16
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.18
    0.11
    326
    +0.17
    0.09
    151
    +0.16
    0.08
    Negative Logits
    Ħ¢
    -0.94
    issance
    -0.91
    UTERS
    -0.90
    galitarian
    -0.89
    mberg
    -0.88
    pler
    -0.88
    monds
    -0.88
    glas
    -0.81
    rians
    -0.81
    ples
    -0.80
    POSITIVE LOGITS
    ous
    1.39
    ously
    1.20
    hattan
    1.07
     Bane
    1.07
    ess
    1.05
    esses
    1.05
     villain
    1.04
    hips
    1.02
     villains
    0.99
    enthal
    0.97
    Activations Density 1.153%

    No Known Activations