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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. 6-RES-JB
    11. 24519
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    Explanations

    phrases related to spending money efficiently

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to expenditures and spending

    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
     Parade
    -0.66
    Aren
    -0.62
     Conan
    -0.62
     Seymour
    -0.61
     Rodham
    -0.59
     Ober
    -0.59
    à¼
    -0.59
     Ascend
    -0.59
    uber
    -0.59
    jar
    -0.57
    POSITIVE LOGITS
    itures
    1.24
    iture
    1.03
     lav
    0.89
     wisely
    0.85
    htaking
    0.84
     money
    0.80
    ONEY
    0.78
    ructure
    0.78
     billions
    0.75
     trillions
    0.74
    Activations Density 0.029%

    No Known Activations