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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 14136
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    Explanations

    keywords related to attracting attention or interest

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "attracted" in various contexts

    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
     Mandatory
    -0.77
     Plain
    -0.63
     error
    -0.63
     timeout
    -0.63
     iTunes
    -0.61
     Pants
    -0.60
     absolute
    -0.59
     heavens
    -0.58
     Standard
    -0.58
    ZA
    -0.57
    POSITIVE LOGITS
     attracted
    3.65
     attracts
    2.27
     attracting
    1.98
     attract
    1.94
     aroused
    1.92
     lured
    1.75
     attraction
    1.55
     fascinated
    1.52
     intrigued
    1.44
     provoked
    1.36
    Activations Density 0.016%

    No Known Activations