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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. 10-RES-JB
    6. 1735
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    Explanations

    references to programs or initiatives

    oai_token-act-pair · gpt-3.5-turbo

    references to various programs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pick
    -0.69
     tales
    -0.68
    ModLoader
    -0.66
     dilig
    -0.64
     Robots
    -0.64
    uple
    -0.63
    SO
    -0.62
    âĶĢâĶĢâĶĢâĶĢ
    -0.61
     IMAGES
    -0.61
    picking
    -0.60
    POSITIVE LOGITS
    mable
    2.09
    matic
    1.73
    matically
    1.70
    mes
    1.19
    mers
    1.15
    matical
    0.98
     Gutenberg
    0.97
    ming
    0.96
    atically
    0.93
    manship
    0.88
    Activations Density 0.040%

    No Known Activations