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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. 11-RES-JB
    6. 2458
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    Explanations

    phrases related to time sequences specifically mentioning events

    oai_token-act-pair · gpt-3.5-turbo

    key events or occurrences in a timeline

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ³ãĤ¸
    -0.69
    future
    -0.67
     behalf
    -0.65
    ãģı
    -0.62
    ignty
    -0.62
     blat
    -0.59
    soever
    -0.59
    oir
    -0.58
     hereafter
    -0.58
     future
    -0.58
    POSITIVE LOGITS
     ended
    1.35
     began
    1.27
     ceased
    1.15
     concluded
    1.15
     erupted
    1.14
     occurred
    1.10
     went
    1.10
     broke
    1.09
     aired
    1.08
     collapsed
    1.08
    Activations Density 0.296%

    No Known Activations