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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. 16503
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    Explanations

    numbers indicating quantities of things, such as "tens", "hundreds", or "thousands"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that quantify large numbers and populations

    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
    hander
    -0.76
    oker
    -0.74
     Akin
    -0.64
     disclaimer
    -0.63
     Nieto
    -0.63
     Procedure
    -0.62
    ĸļ
    -0.62
     Translation
    -0.62
    collar
    -0.61
    taker
    -0.60
    POSITIVE LOGITS
    ousands
    1.27
     billions
    1.17
     thousands
    1.13
    undreds
    1.08
     trillions
    1.06
     millions
    1.06
     hundreds
    1.03
     tens
    1.03
    abytes
    1.01
     thous
    0.99
    Activations Density 0.126%

    No Known Activations