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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. 6-RES-JB
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    Explanations

    mentions of the Dalai Lama and related Tibetan political context

    oai_token-act-pair · gpt-3.5-turbo

    references to the Dalai Lama and Tibetan Buddhism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hitchcock
    -0.71
    ardon
    -0.67
    umbers
    -0.67
    etting
    -0.65
    ptroller
    -0.65
    adden
    -0.65
     Hurricanes
    -0.63
    agents
    -0.63
    nesota
    -0.62
    nect
    -0.62
    POSITIVE LOGITS
     Lama
    1.40
     Dalai
    0.97
     Buddhism
    0.92
     Buddhist
    0.91
     monks
    0.89
     Tibet
    0.85
    utan
    0.84
     Tibetan
    0.84
     Jinping
    0.79
     Buddh
    0.75
    Activations Density 0.020%

    No Known Activations