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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. 6086
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    INDEX
    Explanations

    references to specific video game companies like Square Enix, Ubisoft, and Activision

    oai_token-act-pair · gpt-3.5-turbo

    mentions of video game companies and developers

    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
    aram
    -0.75
    ele
    -0.74
     routine
    -0.70
    hy
    -0.69
    indu
    -0.67
    eur
    -0.67
    jri
    -0.66
     filibuster
    -0.66
     adul
    -0.65
     queens
    -0.63
    POSITIVE LOGITS
    isoft
    1.06
     Entertainment
    1.05
     Publishing
    1.03
    hesda
    1.02
    Games
    1.02
     Games
    1.00
     Studios
    0.98
     Developer
    0.97
     Publisher
    0.95
     Ubisoft
    0.94
    Activations Density 0.139%

    No Known Activations