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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. 6-RES-JB
    6. 5356
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    Explanations

    numbers and codes interspersed with specific named concepts or entities

    oai_token-act-pair · gpt-3.5-turbo

    some specific reference or designation, particularly focusing on the characters 'Ļ' and 'ĺ'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sacrific
    -0.78
     mathemat
    -0.74
     carbohyd
    -0.74
     proport
    -0.74
     neighb
    -0.73
     lawy
    -0.71
    enegger
    -0.71
    ammy
    -0.71
     incorpor
    -0.70
     agre
    -0.70
    POSITIVE LOGITS
    ï¸ı
    1.32
    ï¸
    0.88
    女
    0.87
    ¯¯
    0.86
    ¯
    0.85
    ship
    0.84
    âĶĢâĶĢ
    0.80
     istg
    0.80
    SHIP
    0.78
    çľ
    0.77
    Activations Density 0.285%

    No Known Activations