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    3. Joseph Bloom · Feature Splitting for GPT2-Small
    5. GPT2-Small
    7. Residual Feature Splitting 1536
    9. 8-RES_FS1536-JB
    11. 65
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    Explanations

    phrases related to the concept of holding onto something, whether it be physical (like "onto hope") or abstract (like "holding job")

    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
    346
    +0.11
    0.5%
    582
    +0.11
    0.5%
    183
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    582
    +0.11
    0.04
    206
    +0.11
    0.05
    531
    +0.09
    0.06
    Negative Logits
    ————
    -0.70
    ãĤ¡
    -0.66
    ixel
    -0.66
    endix
    -0.65
    gnu
    -0.64
    ettel
    -0.63
    DIT
    -0.63
    clerosis
    -0.63
    schild
    -0.63
    naire
    -0.63
    POSITIVE LOGITS
    hold
    1.09
     sway
    1.03
    holding
    1.01
    holders
    1.00
     accountable
    0.99
    erness
    0.97
    holder
    0.95
     hostage
    0.92
     captive
    0.90
     hold
    0.86
    Activations Density 1.261%

    No Known Activations