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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. 18393
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    technical terms related to calibration, simulation, authentication, classification, navigation, optimization, localization, translation, registration, transcription, and encryption

    oai_token-act-pair · gpt-3.5-turbo

    technical terms related to automated processes and systems

    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
    enegger
    -0.97
    gerald
    -0.91
    ilan
    -0.82
    hest
    -0.80
    itude
    -0.76
    estones
    -0.76
    arag
    -0.75
    itudes
    -0.75
    iverse
    -0.75
    ewitness
    -0.75
    POSITIVE LOGITS
     techniques
    1.04
     methods
    1.01
     process
    0.99
     technique
    0.95
    eering
    0.93
     scheme
    0.88
     tools
    0.87
     efforts
    0.87
     schemes
    0.87
     mechanism
    0.85
    Activations Density 0.367%

    No Known Activations