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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. 7162
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or brand names

    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
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    No Comments

    Negative Logits
    20439
    -0.80
     ..."
    -0.66
     â̦"
    -0.61
    natureconservancy
    -0.59
    ;;;;;;;;;;;;
    -0.58
    ::::::::
    -0.58
    nesota
    -0.58
     [&
    -0.57
     Thumbnails
    -0.57
     playbook
    -0.55
    POSITIVE LOGITS
    ogether
    0.84
    hetically
    0.75
    tymology
    0.74
    ipers
    0.70
    inarily
    0.69
    ooming
    0.69
    itionally
    0.69
    anyahu
    0.68
    miah
    0.67
    assium
    0.67
    Activations Density 0.305%

    No Known Activations