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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. 5-RES-JB
    6. 13547
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    Explanations

    phrases describing a person's hellsih existence

    oai_token-act-pair · gpt-3.5-turbo

    special characters or symbols in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •GPT2 L5 Resid: RRLLRLLRLLRRRRLLRRRRRRRRR

    No Comments

    Negative Logits
     scattering
    -0.82
     scatter
    -0.75
     dispers
    -0.73
     confinement
    -0.71
     casting
    -0.70
     spinning
    -0.67
     staggered
    -0.67
     Bermuda
    -0.67
     shroud
    -0.67
     concentrating
    -0.66
    POSITIVE LOGITS
    ¹
    1.23
    º
    1.15
    £
    1.15
    į
    1.11
    Į
    1.11
    ¤
    1.08
    ĸļ
    1.07
    »
    1.05
    ®
    1.03
    ¡
    1.02
    Activations Density 0.143%

    No Known Activations