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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. 4-RES-JB
    6. 10763
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    INDEX
    Explanations

    mentions of gaming-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to gaming

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

    No Comments

    Negative Logits
    von
    -0.81
     Debor
    -0.76
    drawn
    -0.74
    ioxide
    -0.71
    geries
    -0.71
    wered
    -0.65
    eous
    -0.65
    sie
    -0.64
    inators
    -0.63
    olition
    -0.62
    POSITIVE LOGITS
     consoles
    1.00
     gamers
    0.88
     gaming
    0.86
     prowess
    0.85
     peripher
    0.84
     enthusiasts
    0.83
     videog
    0.79
    Stars
    0.79
    manship
    0.78
     enthusiast
    0.77
    Activations Density 0.010%

    No Known Activations