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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. 2441
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    Explanations

    numerical values

    oai_token-act-pair · gpt-3.5-turbo
    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
     belong
    -0.80
     belongs
    -0.76
     separat
    -0.68
     Goodbye
    -0.66
     Badge
    -0.65
    izable
    -0.65
     Stability
    -0.65
    士
    -0.65
     Carry
    -0.64
     Tags
    -0.64
    POSITIVE LOGITS
     able
    1.34
     unable
    1.26
     surprised
    1.20
     hesitant
    1.19
     reluctant
    1.18
     alerted
    1.15
     unaware
    1.14
     aware
    1.13
     astonished
    1.11
     pleased
    1.11
    Activations Density 0.271%

    No Known Activations