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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. 10-RES-JB
    11. 3052
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    Explanations

    phrases related to time and resource management

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to the concept of wasted time and resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Outbreak
    -0.76
    Ü
    -0.67
    irens
    -0.61
    MODE
    -0.59
    ordering
    -0.58
     taller
    -0.58
    boxing
    -0.57
    ipolar
    -0.57
    etsk
    -0.57
     prominently
    -0.57
    POSITIVE LOGITS
     money
    1.40
     resources
    1.37
     dollars
    1.33
    money
    1.23
     Dollars
    1.23
     energies
    1.22
     funds
    1.19
     precious
    1.17
     energy
    1.16
     $$
    1.14
    Activations Density 0.434%

    No Known Activations