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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. 11-RES-JB
    11. 21996
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    Explanations

    phrases related to the concept of wastefulness, particularly in terms of time, money, or resources

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating wastefulness or inefficiency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ²¾
    -0.72
    psc
    -0.69
    sit
    -0.67
    OPA
    -0.65
    joining
    -0.65
    Ń·
    -0.65
    antis
    -0.64
    è¦ļéĨĴ
    -0.64
    IPS
    -0.64
    FORE
    -0.63
    POSITIVE LOGITS
     resources
    1.52
     scarce
    1.40
     precious
    1.31
     manpower
    1.29
     taxpayer
    1.24
     time
    1.23
     funds
    1.23
     money
    1.19
     bandwidth
    1.15
     energies
    1.11
    Activations Density 0.312%

    No Known Activations