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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. 6-RES-JB
    6. 22573
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    INDEX
    Explanations

    phrases related to emphasizing the importance of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of importance or necessity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ONSORED
    -0.84
    listed
    -0.69
    ihad
    -0.69
    ophobic
    -0.66
    alf
    -0.65
    calling
    -0.63
    dro
    -0.62
     tricked
    -0.62
    ById
    -0.62
    vill
    -0.62
    POSITIVE LOGITS
     clarify
    1.08
     learn
    1.03
     avoid
    0.99
     dispel
    0.97
    ggles
    0.95
     understand
    0.95
     emphasize
    0.94
     ensure
    0.93
     educate
    0.91
     insure
    0.91
    Activations Density 0.067%

    No Known Activations