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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. 19488
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    INDEX
    Explanations

    sets of related words, particularly noun phrases with multiple components

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate quantities or collections of items

    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
    hyde
    -0.82
    uca
    -0.76
    cture
    -0.75
    matter
    -0.74
    ivo
    -0.74
    ment
    -0.74
    eri
    -0.72
    ablishment
    -0.72
    terness
    -0.72
    ctuary
    -0.71
    POSITIVE LOGITS
     stairs
    1.03
     interconnected
    1.02
     essays
    0.93
     events
    0.91
     posts
    0.88
     twins
    0.88
     tweets
    0.87
     handcuffs
    0.87
     equations
    0.86
     letters
    0.84
    Activations Density 0.081%

    No Known Activations