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    1. Home
    2. Joseph Bloom · Feature Splitting for GPT2-Small
    3. GPT2-Small
    4. Residual Feature Splitting 768
    5. 8-RES_FS768-JB
    6. 63
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    Explanations

    social media handles and posts

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res_fs768-jb
    Configuration
    jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_768
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    768
    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
    294
    +0.13
    0.6%
    185
    +0.10
    0.5%
    125
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    508
    +0.13
    0.10
    294
    +0.10
    0.07
    76
    +0.10
    0.11
    Negative Logits
    cised
    -0.68
     CFR
    -0.68
    heny
    -0.66
     displacement
    -0.63
     Dracula
    -0.63
    rugged
    -0.63
     Quart
    -0.62
    enary
    -0.62
     Stevens
    -0.61
    zik
    -0.61
    POSITIVE LOGITS
    username
    1.12
     Username
    1.10
     username
    1.05
     postings
    0.94
    pages
    0.92
     chats
    0.91
    Reddit
    0.88
     user
    0.88
     feeds
    0.88
     hashtag
    0.88
    Activations Density 3.981%

    No Known Activations