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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. 14790
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    Explanations

    phrases indicating a problem or issue with something

    oai_token-act-pair · gpt-3.5-turbo

    phrases questioning the existence of problems or issues

    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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    No Comments

    Negative Logits
    mart
    -0.88
    swick
    -0.76
    eport
    -0.67
    lehem
    -0.65
     Pesh
    -0.64
    pain
    -0.63
    onder
    -0.63
    grown
    -0.62
    izational
    -0.62
     unden
    -0.61
    POSITIVE LOGITS
     regard
    0.87
     regards
    0.80
    ĪĴ
    0.78
     respect
    0.71
     electrons
    0.65
     Revenge
    0.65
    aroo
    0.64
     dignity
    0.62
    otin
    0.62
    Ĥª
    0.62
    Activations Density 0.054%

    No Known Activations