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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. 8-RES-JB
    6. 14602
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    Explanations

    pet-related terms

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mercial
    -0.88
    terday
    -0.87
    xual
    -0.80
    etheless
    -0.76
     absor
    -0.72
    ĨĴ
    -0.72
    BILITY
    -0.70
    vironment
    -0.68
    successfully
    -0.66
    sers
    -0.65
    POSITIVE LOGITS
    rick
    1.07
    hend
    0.96
    rov
    0.95
    ras
    0.90
    alon
    0.90
    ulia
    0.89
    raf
    0.89
    terson
    0.89
    ley
    0.89
    rik
    0.89
    Activations Density 0.127%

    No Known Activations