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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. 7-RES-JB
    6. 8217
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    "Ģ" symbols

    oai_token-act-pair · gpt-3.5-turbo

    specific characters or symbols that appear in relation to various contexts in the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    romy
    -0.72
     Niet
    -0.68
     Galile
    -0.66
     Sapp
    -0.64
     polyg
    -0.63
     gib
    -0.63
     scattering
    -0.62
    olean
    -0.61
     shack
    -0.61
     Nept
    -0.59
    POSITIVE LOGITS
    ¹
    0.98
    ¡
    0.90
    £
    0.89
    ¬
    0.89
    ķ
    0.87
    Ĵ
    0.86
    Ī
    0.84
    ı
    0.81
    ¦
    0.79
    §
    0.78
    Activations Density 0.153%

    No Known Activations