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    3. Joseph Bloom · Feature Splitting for GPT2-Small
    5. GPT2-Small
    7. Residual Feature Splitting 24576
    9. 8-RES_FS24576-JB
    11. 17304
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    Explanations

    mentions of physical objects or structures like wheels, tunnels, and aircraft in a technical context

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res_fs24576-jb
    Configuration
    jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_24576
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    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
    160
    +0.14
    0.6%
    62
    +0.13
    0.6%
    240
    +0.12
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    62
    +0.14
    0.01
    326
    +0.13
    0.01
    698
    +0.12
    0.01
    Negative Logits
    uated
    -0.76
     ABE
    -0.72
    ropolitan
    -0.72
    uates
    -0.71
    nces
    -0.71
     Suc
    -0.69
    tics
    -0.66
     Grounds
    -0.66
    tical
    -0.66
     Kore
    -0.65
    POSITIVE LOGITS
    chairs
    1.43
    chair
    1.35
    wright
    1.19
    wheel
    1.18
    base
    1.00
    bar
    0.94
    wash
    0.90
    wagon
    0.88
    ies
    0.86
    loader
    0.85
    Activations Density 0.022%

    No Known Activations