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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. 5-RES-JB
    6. 6111
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    Explanations

    references to specific years labeled as "AD" in historical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    terms related to advertising or marketing, specifically focusing on the abbreviation "AD"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -1.00
    ãĤ¡
    -0.74
     htt
    -0.72
    assetsadobe
    -0.70
    awaru
    -0.67
    drop
    -0.67
     Parenthood
    -0.66
    Ń·
    -0.64
     Wem
    -0.63
     Kubrick
    -0.62
    POSITIVE LOGITS
    VERTISEMENT
    1.35
    vantage
    1.08
    MIN
    1.02
    venture
    1.02
    VERTIS
    1.01
    minist
    1.00
    vance
    0.94
    visor
    0.88
    olph
    0.88
    olf
    0.87
    Activations Density 0.012%

    No Known Activations