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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. 10-RES-JB
    6. 12990
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    Explanations

    specific references or instances of something within a broader context

    oai_token-act-pair · gpt-3.5-turbo

    references to "that" in various contexts, often inquiring about specifics or highlighting notable elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ographies
    -0.87
    kamp
    -0.85
    izont
    -0.84
    engers
    -0.84
    ourses
    -0.84
    atures
    -0.83
    Methods
    -0.83
    eeds
    -0.83
    å§«
    -0.81
    emis
    -0.80
    POSITIVE LOGITS
     pesky
    1.58
     fateful
    1.15
     damned
    1.12
     dreaded
    1.12
     bastard
    1.09
     elusive
    1.07
     annoying
    1.04
     darn
    1.02
     sucker
    1.01
     goofy
    1.01
    Activations Density 0.193%

    No Known Activations