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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. 7-RES-JB
    6. 2297
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    Explanations

    words related to academic journals and publications

    oai_token-act-pair · gpt-3.5-turbo

    critical commentary on political and social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Splash
    -0.62
     Compatibility
    -0.62
     Located
    -0.60
     2019
    -0.60
    tenance
    -0.59
     2024
    -0.58
     2021
    -0.58
     Advantage
    -0.55
     Parking
    -0.55
    GAME
    -0.54
    POSITIVE LOGITS
     scholarly
    1.00
     millenn
    0.96
     pse
    0.88
     pund
    0.79
     histor
    0.79
     scholar
    0.79
     academic
    0.78
     Universities
    0.75
     eloqu
    0.74
     academia
    0.74
    Activations Density 1.236%

    No Known Activations