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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. 9-RES-JB
    6. 20959
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    INDEX
    Explanations

    technical instructions and outlines, such as steps or bullet points

    oai_token-act-pair · gpt-3.5-turbo

    structured data presentation and organization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gul
    -0.78
     pitching
    -0.75
     pard
    -0.74
     occasion
    -0.72
     cris
    -0.72
     overseas
    -0.72
     bailout
    -0.72
     wiser
    -0.71
     sculpt
    -0.71
     tackling
    -0.70
    POSITIVE LOGITS
    âĢ¢
    1.75
    âĸł
    1.58
    âĹı
    1.55
    ·
    1.40
    âϦ
    1.39
    âľ
    1.33
    References
    1.24
    âĸº
    1.24
    First
    1.23
    Official
    1.22
    Activations Density 0.165%

    No Known Activations