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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 19683
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    Explanations

    dates or numbers representing specific events or items in a series

    oai_token-act-pair · gpt-3.5-turbo

    dates and numerical values related to events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ometers
    -0.72
    urus
    -0.70
     Contains
    -0.68
    paralle
    -0.68
    ãĤ¤ãĥĪ
    -0.68
    GGGGGGGG
    -0.65
    inus
    -0.64
    retty
    -0.64
     whilst
    -0.64
    ayers
    -0.64
    POSITIVE LOGITS
     expiration
    1.07
     edition
    1.03
     deadline
    1.02
     installment
    1.02
     affair
    0.94
     episode
    0.93
     arrival
    0.92
     showdown
    0.90
     timeframe
    0.90
     debacle
    0.87
    Activations Density 0.084%

    No Known Activations