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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. 3-RES-JB
    6. 8518
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    Explanations

    terms related to historical events, particularly focused on World War II

    oai_token-act-pair · gpt-3.5-turbo

    references to historical events and classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IUM
    -0.67
    GUI
    -0.66
     crates
    -0.62
    tnc
    -0.61
    CHAT
    -0.61
     dow
    -0.61
     Manson
    -0.59
     MEN
    -0.58
    MSN
    -0.58
     varied
    -0.58
    POSITIVE LOGITS
    imester
    1.04
    endment
    0.85
    eve
    0.80
    amic
    0.73
    agonist
    0.71
    secut
    0.70
    arsity
    0.68
    milo
    0.68
    acia
    0.67
    roxy
    0.65
    Activations Density 0.294%

    No Known Activations