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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. 4363
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    Explanations

    phrases related to experiences or actions during specific periods of time

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to someone's work or time spent at specific locations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ptoms
    -0.75
    usra
    -0.74
    zers
    -0.74
    ickr
    -0.70
    ANT
    -0.70
    riber
    -0.68
    antine
    -0.68
    lement
    -0.67
    rist
    -0.66
    endi
    -0.66
    POSITIVE LOGITS
     stint
    0.88
     captivity
    0.84
     lowly
    0.73
     surfing
    0.73
     Gain
    0.69
     academia
    0.66
     exile
    0.65
     consecutive
    0.65
     accrued
    0.65
     mining
    0.65
    Activations Density 0.376%

    No Known Activations