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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. 594
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    INDEX
    Explanations

    words related to dialogues in a tech-savvy context

    oai_token-act-pair · gpt-3.5-turbo

    references to financial and project-related discussions

    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
     derog
    -0.85
     enqu
    -0.81
     oppressed
    -0.80
     horrend
    -0.79
     domestically
    -0.79
     censored
    -0.78
     stra
    -0.78
     dece
    -0.77
     util
    -0.74
     censorship
    -0.74
    POSITIVE LOGITS
    About
    1.42
    Some
    1.41
    Copyright
    1.41
    Still
    1.39
    Instead
    1.38
    Asked
    1.35
    While
    1.35
    Those
    1.34
    But
    1.34
    Among
    1.34
    Activations Density 0.548%

    No Known Activations