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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. 11-RES-JB
    6. 8911
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    Explanations

    statistical or numerical information

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics and quantities related to various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Newsletter
    -0.61
     srfAttach
    -0.58
     Ples
    -0.58
    Others
    -0.56
    soType
    -0.55
     enthusi
    -0.55
     PART
    -0.54
     Alps
    -0.53
     Skydragon
    -0.53
    çīĪ
    -0.53
    POSITIVE LOGITS
     332
    1.15
     331
    1.11
     271
    1.10
     334
    1.10
     378
    1.10
     297
    1.10
     326
    1.09
     336
    1.09
     259
    1.09
     322
    1.09
    Activations Density 0.310%

    No Known Activations