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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 1794
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    Explanations

    mentions of or references to the name "Jake" in various contexts

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.70
    ãĥ£
    -0.65
    oteric
    -0.62
    inatory
    -0.57
     guiIcon
    -0.56
     steroids
    -0.55
     Bloomberg
    -0.55
     heaviest
    -0.54
    dimensional
    -0.54
    dimension
    -0.53
    POSITIVE LOGITS
    ñ
    0.90
    akes
    0.90
    ake
    0.88
    Maker
    0.87
    pta
    0.87
    yi
    0.85
    ña
    0.85
    maker
    0.84
    holder
    0.83
    holders
    0.80
    Activations Density 0.014%

    No Known Activations