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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. 0-RES-JB
    11. 14760
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    INDEX
    Explanations

    words related to attractiveness or allurement

    oai_token-act-pair · gpt-3.5-turbo

    terms related to luring or enticing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     RESP
    -0.73
     Respect
    -0.72
    support
    -0.71
     Support
    -0.70
     Canad
    -0.70
    Decl
    -0.69
     Buildings
    -0.68
     Principles
    -0.68
     respecting
    -0.67
     Issues
    -0.67
    POSITIVE LOGITS
     lure
    3.25
     tempt
    2.68
     lured
    2.45
     temptation
    2.37
     tempting
    2.27
     bait
    2.03
     tempted
    2.01
     enticing
    1.69
     tricked
    1.43
     bribe
    1.36
    Activations Density 0.031%

    No Known Activations