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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. 7-RES-JB
    6. 20547
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    Explanations

    names or references to "Ki" with varying levels of importance or relevance

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual named Ki or variations of that name

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    士
    -0.85
    urgy
    -0.84
    icity
    -0.80
    encers
    -0.79
    ica
    -0.75
    ãĤ¢ãĥ«
    -0.73
    ifiable
    -0.73
    arians
    -0.73
    女
    -0.72
    */(
    -0.71
    POSITIVE LOGITS
    ombo
    0.83
    pee
    0.81
    allery
    0.76
    uchi
    0.75
    jing
    0.74
    ongyang
    0.73
    pling
    0.73
    hee
    0.70
    selage
    0.70
    wan
    0.69
    Activations Density 0.051%

    No Known Activations