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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. 9-RES-JB
    6. 6306
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    Explanations

    phrases related to burning or destruction

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the act of burning or destruction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alian
    -0.69
    ele
    -0.68
    Magn
    -0.68
    DonaldTrump
    -0.66
     Slam
    -0.65
    gravity
    -0.64
    Arthur
    -0.63
    maid
    -0.63
     Integration
    -0.62
    awaru
    -0.62
    POSITIVE LOGITS
    ished
    1.12
    ishing
    1.08
     hotter
    1.02
    ishes
    0.99
     brightly
    0.93
     burning
    0.92
     burned
    0.88
     alive
    0.85
     burn
    0.84
     ashes
    0.84
    Activations Density 0.057%

    No Known Activations