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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 14514
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    Explanations

    references to high-definition screen resolutions, particularly 1080p and 4K

    oai_token-act-pair · gpt-3.5-turbo

    high-definition video and resolution specifications

    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
    redo
    -0.82
    fund
    -0.79
    esta
    -0.79
    mone
    -0.77
    arius
    -0.77
    ulla
    -0.77
    bek
    -0.75
    iazep
    -0.74
     Regulations
    -0.73
    illin
    -0.72
    POSITIVE LOGITS
     visuals
    1.08
     OLED
    1.07
     resolution
    1.07
     TVs
    1.06
     1080
    1.04
     textures
    1.03
    1920
    1.02
     pixels
    1.02
     retina
    1.02
     resolutions
    1.02
    Activations Density 0.141%

    No Known Activations