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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. 6-RES-JB
    6. 15523
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    INDEX
    Explanations

    phrases with an emphasis on personal opinions or convictions

    oai_token-act-pair · gpt-3.5-turbo

    quotes from individuals discussing political issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Aires
    -0.71
     Layout
    -0.70
     peg
    -0.69
    utenberg
    -0.68
    avorite
    -0.67
     Categories
    -0.67
     McKay
    -0.65
    pload
    -0.64
    uckland
    -0.64
     Janeiro
    -0.63
    POSITIVE LOGITS
    Never
    0.96
    BuyableInstoreAndOnline
    0.91
    Ultra
    0.90
    Heart
    0.90
    False
    0.88
    Emergency
    0.87
    smart
    0.86
    Faith
    0.85
    highly
    0.85
    inventoryQuantity
    0.85
    Activations Density 0.059%

    No Known Activations