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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 4493
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    Explanations

    references to various software and technology-related terms, such as GNOME Shell, Fedora, KDE, Qt, and development environments

    oai_token-act-pair · gpt-3.5-turbo

    references to specific software environments and frameworks, particularly GNOME and KDE

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

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    POSITIVE LOGITS
     GNOME
    0.90
     Fedora
    0.85
     KDE
    0.85
     pane
    0.75
     kernels
    0.74
     Plasma
    0.74
     Forums
    0.73
     Libre
    0.73
     Linux
    0.72
     wrapper
    0.72
    Activations Density 0.014%

    No Known Activations