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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. 8-RES-JB
    6. 18919
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    Explanations

    names related to a specific entity or brand, potentially a company or organization

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Av."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hyde
    -0.67
     respons
    -0.64
    utenant
    -0.62
     inaccessible
    -0.62
     Barnett
    -0.61
    ptives
    -0.61
     Coke
    -0.60
    FORMATION
    -0.60
    cipline
    -0.60
    zsche
    -0.60
    POSITIVE LOGITS
    ocado
    1.27
    atars
    1.19
    oided
    1.13
    ril
    1.09
    atar
    1.08
    iol
    1.03
    iator
    1.02
    iew
    1.02
    iations
    1.01
    raham
    1.00
    Activations Density 0.019%

    No Known Activations