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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. 8-RES-JB
    6. 5323
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    Explanations

    certain words related to recognition, respect, and acknowledgment

    oai_token-act-pair · gpt-3.5-turbo

    words and variations related to recognition and awareness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Sapphire
    -0.67
     Spur
    -0.66
     Gaul
    -0.66
    BACK
    -0.63
     DRAG
    -0.63
     setbacks
    -0.61
     blindly
    -0.60
     Dollar
    -0.60
     Boko
    -0.60
     Stard
    -0.59
    POSITIVE LOGITS
    izable
    1.58
    ition
    1.42
    ises
    1.41
    isable
    1.39
    isance
    1.37
    ising
    1.32
    izers
    1.31
    izing
    1.27
    izer
    1.27
    ize
    1.24
    Activations Density 0.100%

    No Known Activations