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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. 5-RES-JB
    6. 21747
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    Explanations

    phrases indicating something is planned or scheduled to happen

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating planned future actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Perspective
    -0.70
    Shop
    -0.66
    Reader
    -0.65
    Kids
    -0.64
     Teaching
    -0.64
     Tuc
    -0.64
    etheless
    -0.63
     Checking
    -0.63
     Reconstruction
    -0.62
    quickShipAvailable
    -0.62
    POSITIVE LOGITS
     expire
    0.94
     coincide
    0.88
     be
    0.82
    pload
    0.80
     eliminate
    0.80
     yield
    0.79
     intensify
    0.79
    NetMessage
    0.78
     announce
    0.78
     liberate
    0.77
    Activations Density 0.059%

    No Known Activations