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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. 9-RES-JB
    6. 21303
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    INDEX
    Explanations

    expressions and phrases related to love and emotions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific symbol or character sequence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 9 - love

    No Comments

    Negative Logits
     Jem
    -0.75
     seiz
    -0.71
     sights
    -0.67
     princ
    -0.66
     fortun
    -0.65
     photoc
    -0.62
     decomp
    -0.62
     NEO
    -0.62
     Customs
    -0.62
     commem
    -0.62
    POSITIVE LOGITS
    Ļ
    1.52
    ¤
    1.30
    ħ
    1.18
    ĺ
    1.16
    ĸ
    1.09
    Ĵ
    1.06
    ļ
    1.03
    ª
    1.02
    ı
    1.01
    ľ
    1.01
    Activations Density 0.361%

    No Known Activations