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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. 6-RES-JB
    6. 11018
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    Explanations

    technical terms related to Microsoft Azure services and cloud computing

    oai_token-act-pair · gpt-3.5-turbo

    technical terms and components related to cloud computing and security technologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    oria
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    sonian
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    TextColor
    -0.75
    rouse
    -0.75
    later
    -0.73
    orial
    -0.73
    orically
    -0.73
    POSITIVE LOGITS
     deployments
    1.10
    Deploy
    1.08
     Deploy
    0.98
     server
    0.98
     appliance
    0.96
     firewall
    0.95
     controller
    0.93
     servers
    0.93
     Server
    0.93
     Linux
    0.93
    Activations Density 0.215%

    No Known Activations