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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. 2320
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    Explanations

    large monetary amounts and financial transactions or investments

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and financial transactions

    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
     Surv
    -0.71
     deterior
    -0.65
    inventoryQuantity
    -0.62
     Divinity
    -0.61
     wors
    -0.60
     relat
    -0.57
     DX
    -0.56
    imil
    -0.56
     swall
    -0.55
     strugg
    -0.55
    POSITIVE LOGITS
    million
    1.18
     million
    1.18
     billion
    0.97
     000
    0.88
     MILL
    0.87
    billion
    0.86
    000
    0.86
     Million
    0.86
     crore
    0.83
     lakh
    0.79
    Activations Density 0.134%

    No Known Activations