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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 884
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    Explanations

    phrases related to success and achievement

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     altercation
    -0.68
     clutter
    -0.65
     desks
    -0.63
     sod
    -0.62
     chairs
    -0.62
     trapping
    -0.61
     CoC
    -0.61
     toug
    -0.60
    oos
    -0.60
    chairs
    -0.60
    POSITIVE LOGITS
     achieved
    1.12
     elusive
    1.04
     achievable
    0.99
     attained
    0.93
     outwe
    0.91
     depended
    0.90
     attain
    0.88
    chieve
    0.87
    ¥µ
    0.86
     accol
    0.84
    Activations Density 0.579%

    No Known Activations