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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. 5896
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    Explanations

    words related to mathematical equations and terms

    oai_token-act-pair · gpt-3.5-turbo

    quantitative or mathematical expressions

    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
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    Negative Logits
    rosse
    -0.64
    oppers
    -0.55
    ependence
    -0.49
    oeuv
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    inders
    -0.48
     belie
    -0.48
    ummer
    -0.44
     conserve
    -0.44
    turn
    -0.43
    inge
    -0.43
    POSITIVE LOGITS
     acronym
    0.72
     abbre
    0.60
    REDACTED
    0.59
    ITION
    0.57
     Vulkan
    0.56
    £ı
    0.54
     Digital
    0.52
    Ö¼
    0.52
     VK
    0.52
    ãĤ±
    0.51
    Activations Density 1.944%

    No Known Activations