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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. 3510
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    Explanations

    website and technical terms, possibly related to programming or online activities

    oai_token-act-pair · gpt-3.5-turbo

    instances of engagement or interaction prompts related to social media and online connections

    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

    Negative Logits
    hement
    -0.73
     scrap
    -0.57
     legisl
    -0.54
     voluntarily
    -0.50
    illance
    -0.50
     hust
    -0.49
     oun
    -0.49
    ction
    -0.48
     everywhere
    -0.48
     diseng
    -0.48
    POSITIVE LOGITS
    Recommended
    0.76
    ONSORED
    0.69
    âĵĺ
    0.68
    ccording
    0.66
    References
    0.64
    ItemThumbnailImage
    0.64
    ================================================================
    0.64
    Anonymous
    0.63
    Advertisements
    0.63
    Official
    0.63
    Activations Density 1.135%

    No Known Activations