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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. 10-RES-JB
    6. 16806
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    Explanations

    dates and time descriptions

    oai_token-act-pair · gpt-3.5-turbo

    numerical ratings and symbols related to scoring or evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    KI
    -0.78
    pell
    -0.70
    Reloaded
    -0.68
    leep
    -0.67
    MN
    -0.66
    heed
    -0.66
    enza
    -0.64
    oko
    -0.62
    pread
    -0.62
    BW
    -0.62
    POSITIVE LOGITS
     Vulkan
    0.87
     Dalai
    0.70
     RTX
    0.65
     Anniversary
    0.65
    \-
    0.64
     Duration
    0.63
     Mastery
    0.61
     âĢİ
    0.61
     Prest
    0.61
     Completed
    0.60
    Activations Density 0.025%

    No Known Activations