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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. 9049
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    Explanations

    information related to technology and digital activities, such as web browsing histories, app usage, and data collection

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to technology and data collection

    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
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    No Comments

    Negative Logits
     negro
    -0.84
    ascus
    -0.81
    omore
    -0.78
     Buchanan
    -0.76
    Southern
    -0.76
    outhern
    -0.74
    ocaust
    -0.72
    ~~~~~~~~~~~~~~~~
    -0.71
    iatus
    -0.71
     Marxism
    -0.71
    POSITIVE LOGITS
     apps
    1.37
     touchscreen
    1.35
     Siri
    1.30
     Cortana
    1.28
     iCloud
    1.26
     Apps
    1.22
     Gmail
    1.21
     Kinect
    1.21
     smartphone
    1.21
     Snapchat
    1.18
    Activations Density 1.416%

    No Known Activations