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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. 0-RES-JB
    6. 14156
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    Explanations

    phrases related to exploration and investigation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurement and quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gladiator
    -0.82
     Brush
    -0.81
     Blossom
    -0.78
     Painter
    -0.78
     Cousins
    -0.77
     Rampage
    -0.77
     Clouds
    -0.77
     Zuckerberg
    -0.76
     Exploration
    -0.76
    Shock
    -0.76
    POSITIVE LOGITS
     ma
    1.64
     mi
    1.54
     mu
    1.52
     nic
    1.49
     li
    1.46
     cas
    1.45
     ja
    1.45
     sam
    1.45
     nu
    1.45
     il
    1.45
    Activations Density 0.108%

    No Known Activations