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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. 10-RES-JB
    6. 20751
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    INDEX
    Explanations

    keywords related to the process of disinfection or removal

    oai_token-act-pair · gpt-3.5-turbo

    terms related to degradation or decline

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hastings
    -0.67
     Holmes
    -0.67
     Galile
    -0.64
    glers
    -0.64
     physics
    -0.62
    waters
    -0.62
     sockets
    -0.61
    Reviewer
    -0.60
     favorites
    -0.60
     judges
    -0.60
    POSITIVE LOGITS
    erved
    1.24
    erving
    1.22
    aturated
    1.21
    irable
    1.20
    ired
    1.20
    igned
    1.17
    aturation
    1.14
    pite
    1.12
    icc
    1.10
    erves
    1.08
    Activations Density 0.020%

    No Known Activations