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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 23337
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    Explanations

    phrases related to spending money

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to spending money and resources

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.73
    ²¾
    -0.73
    deal
    -0.61
    named
    -0.59
     antagonists
    -0.59
     Conan
    -0.57
     Parade
    -0.57
     Edmund
    -0.57
    Ļ½
    -0.57
     Seymour
    -0.56
    POSITIVE LOGITS
    itures
    1.16
     money
    0.96
     eternity
    0.95
    iture
    0.94
     lav
    0.87
    ONEY
    0.86
     billions
    0.80
     trillions
    0.79
     IPM
    0.78
    minster
    0.77
    Activations Density 0.036%

    No Known Activations