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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    names or references related to Cal(ifornia)

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Cal" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erness
    -0.87
    ĸļ
    -0.83
    kaya
    -0.76
    DragonMagazine
    -0.75
    icket
    -0.73
    ãģį
    -0.73
    heid
    -0.71
    ioned
    -0.67
    ovych
    -0.66
    -+
    -0.64
    POSITIVE LOGITS
    cal
    1.05
    endars
    1.00
    cium
    0.89
    culation
    0.89
     Cal
    0.87
     ILCS
    0.86
    iber
    0.86
    ibr
    0.85
    Cal
    0.85
    culus
    0.80
    Activations Density 0.008%

    No Known Activations