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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 1665
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    INDEX
    Explanations

    phrases related to buildings or real estate

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or buildings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    milo
    -0.81
    XP
    -0.79
     Vulkan
    -0.77
    ĸļ
    -0.76
    token
    -0.76
     riders
    -0.75
     Caucasus
    -0.75
     Token
    -0.75
     IOC
    -0.74
    Thom
    -0.74
    POSITIVE LOGITS
     homeowner
    2.09
     house
    1.99
     homeowners
    1.89
     home
    1.86
     homes
    1.81
     Home
    1.71
     Homes
    1.69
    home
    1.67
    Home
    1.66
     houses
    1.66
    Activations Density 0.470%

    No Known Activations