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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. 3-RES-JB
    6. 10499
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    Explanations

    dates or events represented in the format Day/Month

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific symbol or character throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     constitu
    -0.85
     imitation
    -0.83
     disadvant
    -0.83
     vulner
    -0.74
     mathemat
    -0.73
     carbohyd
    -0.73
     blender
    -0.72
     promoters
    -0.72
     tangled
    -0.68
     levers
    -0.68
    POSITIVE LOGITS
    ï¸ı
    1.21
    ï¸
    1.00
    Ļ
    0.91
    İ
    0.88
    ħ
    0.87
    ا
    0.85
    女
    0.84
    ATH
    0.83
    PT
    0.81
    ļ
    0.81
    Activations Density 0.458%

    No Known Activations