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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. 17890
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    Explanations

    different versions or iterations of something

    oai_token-act-pair · gpt-3.5-turbo

    references to different versions or adaptations of stories or narratives

    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
    urers
    -0.87
    arers
    -0.76
    phasis
    -0.75
    ateurs
    -0.74
    ussion
    -0.70
    oji
    -0.68
    ering
    -0.67
    hya
    -0.67
    ennes
    -0.67
    erning
    -0.66
    POSITIVE LOGITS
     Fortune
    0.66
     fortune
    0.66
     events
    0.61
     Xan
    0.61
     Christianity
    0.60
     Thing
    0.59
     CAT
    0.59
     Tomorrow
    0.59
    reality
    0.59
     Flip
    0.59
    Activations Density 0.117%

    No Known Activations