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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
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    Explanations

    terms related to authentication and establishing secure connections, including phrases with specific technical terms related to authentication and security protocols

    oai_token-act-pair · gpt-3.5-turbo

    terms related to authentication mechanisms and security protocols

    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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    Negative Logits
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    -0.88
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    POSITIVE LOGITS
     authentication
    1.25
     passwords
    1.12
     cryptographic
    1.11
     Authentication
    1.07
     encrypted
    1.07
     SSL
    1.06
     HTTP
    1.06
     password
    1.06
     cryptography
    1.04
     handshake
    1.03
    Activations Density 0.197%

    No Known Activations