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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. 2000
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    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
     flourishing
    -1.01
     pleasures
    -0.90
     thrill
    -0.87
     fascination
    -0.85
     dominating
    -0.84
     thriving
    -0.84
     sacrific
    -0.83
     phenomen
    -0.83
     creeping
    -0.83
     sprawling
    -0.83
    POSITIVE LOGITS
    ï¸ı
    1.29
    Additionally
    1.20
     Additionally
    1.14
     Regarding
    1.05
    Due
    1.00
    Additional
    1.00
    Based
    0.98
    Delivery
    0.98
    Statement
    0.97
    Information
    0.97
    Activations Density 0.336%

    No Known Activations