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    1. Home
    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. 14306
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    Explanations

    references to bubbles

    oai_token-act-pair · gpt-3.5-turbo

    references to "bubbles" in various contexts, particularly relating to economic or social phenomena

    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
    abet
    -0.79
    nesota
    -0.76
    IVES
    -0.75
    Ģ
    -0.71
    IGHTS
    -0.70
    arnaev
    -0.69
    OTO
    -0.68
    avement
    -0.68
     CHO
    -0.67
    Published
    -0.67
    POSITIVE LOGITS
     bubble
    1.05
    bub
    1.01
     bubbles
    1.00
     gum
    0.95
     inflated
    0.90
    wrap
    0.84
    ulent
    0.84
     Bubble
    0.80
     canopy
    0.74
     popped
    0.74
    Activations Density 0.015%

    No Known Activations