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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. 11-RES-JB
    6. 19048
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    INDEX
    Explanations

    phrases related to sports games and events

    oai_token-act-pair · gpt-3.5-turbo

    affirmative statements about past events or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Introduced
    -0.91
    laughter
    -0.84
    DragonMagazine
    -0.79
    ertodd
    -0.77
    è¦ļéĨĴ
    -0.76
    assetsadobe
    -0.76
     Cosponsors
    -0.75
    ForgeModLoader
    -0.75
    iot
    -0.74
    enary
    -0.72
    POSITIVE LOGITS
     Belichick
    1.00
     preseason
    0.95
     matchup
    0.94
     Kaepernick
    0.93
     Hendricks
    0.91
     Brees
    0.89
     Harbaugh
    0.88
     icing
    0.87
     Jacksonville
    0.87
     disappointing
    0.85
    Activations Density 0.248%

    No Known Activations