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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. 9-RES-JB
    6. 16953
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    INDEX
    Explanations

    phrases related to instructions or step-by-step guidance

    oai_token-act-pair · gpt-3.5-turbo

    various types of events and significant activities

    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
     contingency
    -0.73
     recess
    -0.73
     rede
    -0.70
     presumptive
    -0.69
     vacated
    -0.68
     legislative
    -0.67
     punitive
    -0.67
     visitation
    -0.66
     interim
    -0.66
     UNCLASSIFIED
    -0.65
    POSITIVE LOGITS
     Featuring
    1.07
     Includes
    1.03
     curated
    1.02
     Explore
    0.99
     Learn
    0.92
    Includes
    0.90
    Features
    0.86
     Including
    0.86
     âĢº
    0.86
     Contains
    0.85
    Activations Density 0.727%

    No Known Activations