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    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. 6617
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    Explanations

    words ending in "-ation"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "at" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     Tsukuyomi
    -0.77
    ADE
    -0.72
    ONSORED
    -0.66
    Rogue
    -0.64
     destro
    -0.62
     Bangl
    -0.61
     forks
    -0.60
     Xie
    -0.60
     Paula
    -0.60
     Choi
    -0.60
    POSITIVE LOGITS
    abase
    1.01
    hetically
    0.97
    istical
    0.96
    rix
    0.94
    hemat
    0.94
    uitous
    0.93
    ting
    0.92
    istics
    0.91
    roph
    0.88
    rice
    0.87
    Activations Density 0.023%

    No Known Activations