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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. 8010
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    Explanations

    words related to physical attributes and characteristics, such as athleticism, garment types, medical terms, and technological terms

    oai_token-act-pair · gpt-3.5-turbo

    words and terms related to various forms of entertainment and technology

    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
    yond
    -0.80
     suburbs
    -0.75
     nursing
    -0.75
     carbohyd
    -0.75
     modest
    -0.74
    etheless
    -0.73
     parks
    -0.70
     forestry
    -0.69
     broad
    -0.68
     farmland
    -0.68
    POSITIVE LOGITS
     Disorder
    1.47
     Awareness
    1.33
    âĦ¢
    1.32
     Reduction
    1.32
     Ratio
    1.28
     Therapy
    1.26
     Removal
    1.24
     Month
    1.23
     Syndrome
    1.23
     Principle
    1.21
    Activations Density 0.447%

    No Known Activations