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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. 4-RES-JB
    6. 19604
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    phrases related to information technology and infrastructure, such as cloud deployments, virtual machines, and security solutions

    oai_token-act-pair · gpt-3.5-turbo

    technical terminology related to cloud computing and infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    itsch
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    oria
    -0.87
    sonian
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    orical
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    orie
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    oric
    -0.76
    rahim
    -0.75
    hemy
    -0.73
    TextColor
    -0.73
    rouse
    -0.72
    POSITIVE LOGITS
     appliance
    1.02
     Linux
    0.98
     controller
    0.97
     deployments
    0.96
     operating
    0.93
    Deploy
    0.93
     configurations
    0.92
     configuration
    0.91
     computing
    0.90
     server
    0.90
    Activations Density 0.173%

    No Known Activations