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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. 12-RES-JB
    11. 2809
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    Explanations

    descriptive terms related to physical objects and locations

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    mentions of images and videos in the context of documentation or evidence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    POSITIVE LOGITS
     videos
    1.46
     diagrams
    1.35
     illustrations
    1.28
     drawings
    1.28
     animations
    1.27
    videos
    1.21
     sketches
    1.20
     transcripts
    1.19
     screenshots
    1.18
     GIF
    1.16
    Activations Density 0.133%

    No Known Activations