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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 20280
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    Explanations

    locations where specific legal actions have taken place, such as the legalization of certain practices in different states or countries

    oai_token-act-pair · gpt-3.5-turbo

    references to legal status and legislation regarding same-sex marriage and marijuana across various locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    DragonMagazine
    -0.95
    0000000000000000
    -0.94
    staking
    -0.87
    catentry
    -0.85
    wagon
    -0.84
    inventoryQuantity
    -0.83
    GROUND
    -0.77
    MpServer
    -0.76
    00007
    -0.74
    oola
    -0.73
    POSITIVE LOGITS
     France
    1.38
     Germany
    1.35
     Europe
    1.32
     England
    1.30
     Britain
    1.28
     countries
    1.28
     Japan
    1.26
     Spain
    1.24
     Australia
    1.23
     Ireland
    1.20
    Activations Density 0.333%

    No Known Activations