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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. 10-RES-JB
    6. 1503
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    INDEX
    Explanations

    descriptions indicating how something is mentioned or described

    oai_token-act-pair · gpt-3.5-turbo

    phrases that simplify or clarify complex ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Skydragon
    -0.71
    incible
    -0.65
    IELD
    -0.64
    imura
    -0.63
    ds
    -0.63
    Legendary
    -0.63
    hung
    -0.62
    owners
    -0.59
    wives
    -0.59
    gered
    -0.59
    POSITIVE LOGITS
     bluntly
    1.39
     mildly
    1.21
     succinct
    1.20
     plainly
    1.15
     politely
    1.12
     nicely
    1.03
     concise
    0.99
     gently
    0.91
     diplom
    0.90
     lightly
    0.89
    Activations Density 0.070%

    No Known Activations