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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. 9-RES-JB
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    Explanations

    phrases related to encryption and security

    oai_token-act-pair · gpt-3.5-turbo

    technical terms and concepts related to digital security and encryption

    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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    No Comments

    Negative Logits
    Urban
    -0.83
    ¥µ
    -0.75
    aim
    -0.74
     Urban
    -0.73
    yards
    -0.73
     Huss
    -0.73
    Ohio
    -0.73
    frey
    -0.71
     wagon
    -0.70
     Spur
    -0.70
    POSITIVE LOGITS
     encryption
    1.90
     cryptographic
    1.88
     encrypted
    1.85
     cryptography
    1.78
     passwords
    1.72
     password
    1.71
     authentication
    1.68
     encrypt
    1.68
    password
    1.60
     decrypt
    1.51
    Activations Density 0.557%

    No Known Activations