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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. 7-RES-JB
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    Explanations

    phrases related to computer systems and hacking

    oai_token-act-pair · gpt-3.5-turbo

    terms related to computer systems and email security

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ember
    -0.74
    Grad
    -0.73
    odder
    -0.71
     Hunger
    -0.71
     Wrest
    -0.71
     Flavoring
    -0.70
    irtual
    -0.70
    crow
    -0.68
     Brewing
    -0.68
    iets
    -0.67
    POSITIVE LOGITS
     seized
    1.07
     passwords
    1.05
     belonging
    1.00
     encryption
    0.97
     encrypted
    0.93
     backups
    0.86
     contents
    0.85
     trove
    0.85
     password
    0.85
     unlawfully
    0.83
    Activations Density 0.206%

    No Known Activations