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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 18074
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    INDEX
    Explanations

    phrases related to customization and adaptation to specific needs or preferences

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to customization and meeting individual needs

    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
    conduct
    -0.71
    bery
    -0.69
    toc
    -0.68
    isman
    -0.66
    RAL
    -0.65
    icide
    -0.65
    icides
    -0.65
     Trace
    -0.64
    spin
    -0.61
    eware
    -0.60
    POSITIVE LOGITS
     needs
    1.43
    needs
    1.28
     Needs
    1.18
     demands
    1.18
     tastes
    1.14
     requirements
    1.03
     desires
    1.01
     preferences
    1.01
     evolving
    1.00
     changing
    0.96
    Activations Density 0.401%

    No Known Activations