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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. 6827
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    Explanations

    comparative statements indicating a higher or lower degree of a certain attribute

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating an increase or emphasis on certain qualities or attributes

    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
    ovie
    -0.80
    comings
    -0.72
    xtap
    -0.66
    DragonMagazine
    -0.66
     Procedure
    -0.62
    =-=-
    -0.62
     Divinity
    -0.61
    æ©
    -0.61
    ibl
    -0.61
    halla
    -0.58
    POSITIVE LOGITS
     than
    1.16
     efficient
    1.09
     expensive
    1.05
     stringent
    1.00
     attractive
    0.98
     sophisticated
    0.97
     likely
    0.95
     importantly
    0.94
     pronounced
    0.94
     frequent
    0.93
    Activations Density 0.151%

    No Known Activations