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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 15611
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    Explanations

    phrases related to Tibet and the Dalai Lama

    oai_token-act-pair · gpt-3.5-turbo

    references to Tibetan culture and figures, particularly the Dalai Lama

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etting
    -0.84
    alez
    -0.78
    umbers
    -0.75
    dayName
    -0.73
    ibus
    -0.71
    ardon
    -0.70
    vous
    -0.69
    adden
    -0.68
    iegel
    -0.67
     Hitchcock
    -0.65
    POSITIVE LOGITS
     Lama
    1.35
     Buddhist
    1.09
     Buddhism
    1.07
     Dalai
    1.06
     Tibetan
    1.02
     Tibet
    0.97
    utan
    0.91
     monks
    0.89
     Buddh
    0.85
     Mongolia
    0.76
    Activations Density 0.018%

    No Known Activations