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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. 5-RES-JB
    6. 6544
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    Explanations

    uncommon characters or symbols

    oai_token-act-pair · gpt-3.5-turbo

    negative contractions and various uses of the word "it."

    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
    •GPT2 L5 Resid: RRLLRLLRLLRRRRLLRRRRRRRRR

    No Comments

    Negative Logits
    anwhile
    -0.75
     scatter
    -0.69
     scattering
    -0.68
     gad
    -0.62
     nonexistent
    -0.61
     Saga
    -0.61
    osate
    -0.61
     dangling
    -0.60
     nearest
    -0.59
     muse
    -0.59
    POSITIVE LOGITS
    º
    1.17
    £
    1.12
    ¹
    1.08
    į
    0.95
     âĢº
    0.94
    ı
    0.93
    §
    0.93
    ®
    0.91
    ¬
    0.88
    ¿
    0.88
    Activations Density 0.389%

    No Known Activations