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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. 5581
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    INDEX
    Explanations

    numerical values with a special range as the highest activations

    oai_token-act-pair · gpt-3.5-turbo

    monetary values or financial figures

    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
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    No Comments

    Negative Logits
     reflections
    -0.65
     Shine
    -0.57
    igans
    -0.55
     Kung
    -0.55
     Divinity
    -0.54
     rejoice
    -0.53
     resemb
    -0.53
    iasis
    -0.52
     Dent
    -0.52
     viz
    -0.52
    POSITIVE LOGITS
     million
    1.45
    million
    1.41
     billion
    1.40
    billion
    1.38
     Billion
    1.15
     lakh
    1.14
     trillion
    1.14
     Million
    1.13
     crore
    1.12
     MILL
    1.05
    Activations Density 0.042%

    No Known Activations