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    2. Joseph Bloom · Feature Splitting for GPT2-Small
    3. GPT2-Small
    4. Residual Feature Splitting 1536
    5. 8-RES_FS1536-JB
    6. 956
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    Explanations

    terms related to training, preparedness, and techniques, especially in the context of law enforcement and safety

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res_fs1536-jb
    Configuration
    jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_1536
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    1,536
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    575
    +0.14
    0.6%
    679
    +0.12
    0.6%
    302
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    575
    +0.14
    0.14
    288
    +0.12
    0.13
    271
    +0.10
    0.06
    Negative Logits
    bum
    -0.70
    hao
    -0.64
    ported
    -0.62
    pard
    -0.62
     headlines
    -0.60
    rants
    -0.60
    adra
    -0.60
    beck
    -0.59
     outl
    -0.58
    leased
    -0.58
    POSITIVE LOGITS
     taught
    1.11
    learn
    1.08
     lesson
    1.07
     lessons
    1.05
     instructors
    1.01
     instructor
    1.01
    Learning
    0.99
     teach
    0.99
     instructional
    0.95
     manuals
    0.94
    Activations Density 2.839%

    No Known Activations