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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. 7-RES-JB
    6. 18316
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    INDEX
    Explanations

    descriptions of multiple instances or high quantities of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a lack of substance or depth

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     depended
    -0.72
     wisely
    -0.66
    soever
    -0.65
     forever
    -0.65
     jointly
    -0.64
    advertising
    -0.62
    este
    -0.61
     assum
    -0.61
     relied
    -0.61
     ensured
    -0.61
    POSITIVE LOGITS
     similarities
    1.10
     discrepancies
    0.96
     resemblance
    0.95
     similarity
    0.87
     instances
    0.86
     discrepancy
    0.86
     differences
    0.85
     resemb
    0.85
     progress
    0.83
     overlap
    0.83
    Activations Density 0.461%

    No Known Activations