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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. 12-RES-JB
    6. 14512
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    Explanations

    phrases related to chemical processes or scientific experiments

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to processes and actions related to scientific methods or procedures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idate
    -0.93
    earances
    -0.89
    vantage
    -0.81
    aez
    -0.80
    isSpecial
    -0.79
    ibl
    -0.78
    acea
    -0.76
    ertain
    -0.75
    isSpecialOrderable
    -0.75
    querade
    -0.75
    POSITIVE LOGITS
     inserting
    1.30
     extracting
    1.26
     manipulating
    1.23
     injecting
    1.23
     transferring
    1.22
     placing
    1.22
     attaching
    1.20
     converting
    1.20
     removing
    1.19
     combining
    1.17
    Activations Density 0.326%

    No Known Activations