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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. 5258
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    Explanations

    phrases related to an on-going process or activity

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a process or ongoing action

    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
    ï¸ı
    -0.69
     Bust
    -0.68
    Flags
    -0.67
    Champ
    -0.66
    Edge
    -0.65
    HD
    -0.64
    oons
    -0.63
    oft
    -0.62
    orah
    -0.61
     Flags
    -0.61
    POSITIVE LOGITS
     obtaining
    0.89
     progress
    0.87
     arranging
    0.83
     evaluating
    0.83
     transferring
    0.80
     applying
    0.79
     extracting
    0.79
     resolving
    0.78
     incarcer
    0.77
     constructing
    0.77
    Activations Density 0.105%

    No Known Activations