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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. 12707
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    Explanations

    phrases related to the amount or quantity of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to obtaining or maximizing 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
    ilial
    -0.66
    clude
    -0.64
    areth
    -0.58
    jury
    -0.55
    Listener
    -0.55
    ifice
    -0.55
    igma
    -0.54
    amiya
    -0.54
    usual
    -0.54
    hibit
    -0.54
    POSITIVE LOGITS
     mileage
    1.14
     traction
    0.96
     gratification
    0.88
     foothold
    0.88
     bang
    0.86
     satisfaction
    0.81
     discounts
    0.80
     acquainted
    0.78
     enjoyment
    0.78
     answers
    0.78
    Activations Density 0.206%

    No Known Activations