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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. 17848
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    Explanations

    words related to transportation and locations, potentially focusing on negative instances

    oai_token-act-pair · gpt-3.5-turbo

    negative phrases related to various forms of loss or deprivation

    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
    ulhu
    -0.62
     Dickinson
    -0.55
     AVG
    -0.52
     EntityItem
    -0.52
     Burr
    -0.51
     Norris
    -0.50
     Richards
    -0.49
     Meadows
    -0.49
     Borders
    -0.48
     Rica
    -0.47
    POSITIVE LOGITS
    sized
    1.03
    based
    0.95
    level
    0.92
    shaped
    0.88
    themed
    0.88
    grade
    0.86
    eyed
    0.86
    related
    0.85
    derived
    0.84
    powered
    0.84
    Activations Density 0.319%

    No Known Activations