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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. 23026
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    INDEX
    Explanations

    phrases related to beliefs or assumptions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating beliefs or assumptions about individuals or situations

    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
    Interstitial
    -0.82
    enegger
    -0.70
    cloth
    -0.68
     Jackets
    -0.65
    Cola
    -0.65
    learn
    -0.62
    ventory
    -0.61
    backer
    -0.61
     Mountains
    -0.61
    unciation
    -0.59
    POSITIVE LOGITS
    ril
    0.69
     Beir
    0.64
    atis
    0.62
    MpServer
    0.61
    inery
    0.61
     errone
    0.59
     quart
    0.58
     probable
    0.58
     incorrectly
    0.58
    istani
    0.58
    Activations Density 0.061%

    No Known Activations