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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. 4663
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    Explanations

    dates, specifically focusing on Wednesdays

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the day "Wednesday."

    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
    åĬ
    -0.81
    chest
    -0.72
    pend
    -0.71
    âĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪ
    -0.70
    abet
    -0.70
    pires
    -0.70
    acc
    -0.69
    ebook
    -0.68
    orius
    -0.67
    ordes
    -0.67
    POSITIVE LOGITS
     afternoon
    1.45
     morning
    1.44
     evening
    1.39
     night
    1.38
     mornings
    1.11
    morning
    1.10
     nights
    1.09
     evenings
    1.09
     Night
    0.99
     Evening
    0.93
    Activations Density 0.068%

    No Known Activations