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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. 16760
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    INDEX
    Explanations

    phrases indicating negation or potential misunderstanding

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express caution or reassurance

    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
    ilogy
    -0.76
    anded
    -0.68
    alist
    -0.66
    ially
    -0.64
    figured
    -0.64
    azo
    -0.62
    ranch
    -0.62
    ettlement
    -0.62
    atar
    -0.62
    erial
    -0.61
    POSITIVE LOGITS
     yourself
    1.05
     yourselves
    1.02
     anymore
    0.93
     Yourself
    0.85
     ANY
    0.80
     any
    0.79
     your
    0.75
     whining
    0.70
     anything
    0.70
     YOUR
    0.68
    Activations Density 0.123%

    No Known Activations