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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. 6-RES-JB
    6. 16118
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    Explanations

    proper names or entities

    oai_token-act-pair · gpt-3.5-turbo

    elements related to specific identifiers or labels, likely in a social media or web context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     coli
    -0.91
    ÄŁ
    -0.65
    lance
    -0.63
    venants
    -0.63
    heit
    -0.61
    ãĤ¼ãĤ¦ãĤ¹
    -0.60
     Facility
    -0.58
    ryu
    -0.57
    gypt
    -0.56
    zona
    -0.55
    POSITIVE LOGITS
    itiveness
    0.62
     XL
    0.59
    Ban
    0.57
    ongyang
    0.52
     Ki
    0.51
    ody
    0.50
     Rih
    0.49
     Hats
    0.49
     HRC
    0.49
     litter
    0.47
    Activations Density 1.132%

    No Known Activations