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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. 2-RES-JB
    11. 5993
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    Explanations

    references to financial market bubbles

    oai_token-act-pair · gpt-3.5-turbo

    references to economic bubbles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abet
    -0.76
    avement
    -0.75
    IVES
    -0.74
    nesota
    -0.74
    Published
    -0.73
    aughters
    -0.70
    IGHTS
    -0.69
    20439
    -0.68
    ewski
    -0.67
    sen
    -0.67
    POSITIVE LOGITS
     bubble
    1.19
     bubbles
    1.08
    bub
    1.05
     Bubble
    0.93
     gum
    0.86
     inflated
    0.83
     boom
    0.78
    wrap
    0.77
     balloons
    0.77
     submer
    0.76
    Activations Density 0.008%

    No Known Activations