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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. 1-RES-JB
    6. 23436
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    Explanations

    names or terms related to technology and computing, especially focused on storage capacity

    oai_token-act-pair · gpt-3.5-turbo

    words related to the term "meme" or its derivatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    coni
    -0.72
     Skydragon
    -0.72
     Akron
    -0.70
    ãĥ³ãĤ¸
    -0.70
     DRAGON
    -0.66
    ãĥ´ãĤ¡
    -0.65
    Ô
    -0.65
    ãĥīãĥ©ãĤ´ãĥ³
    -0.63
     Ain
    -0.63
     Erie
    -0.62
    POSITIVE LOGITS
    mb
    1.15
    ilib
    1.06
    iotics
    0.93
    illion
    0.90
    uild
    0.88
    iosis
    0.87
    iotic
    0.86
    fw
    0.83
    ortal
    0.82
    odies
    0.82
    Activations Density 0.007%

    No Known Activations