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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. 7-RES-JB
    6. 6143
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    Explanations

    expressions of gratitude and appreciation

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude or thanks

    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
    umin
    -0.79
    ewitness
    -0.77
    apeshifter
    -0.76
     quartz
    -0.69
    nai
    -0.68
    ihil
    -0.66
     undet
    -0.65
    ulate
    -0.64
    agin
    -0.64
    ãĤ¼ãĤ¦ãĤ¹
    -0.63
    POSITIVE LOGITS
     Thank
    0.96
     :)
    0.94
     âĿ
    0.93
     Please
    0.92
     Congratulations
    0.90
     Merry
    0.89
     ðŁĻĤ
    0.88
     :-)
    0.87
     We
    0.84
     Hope
    0.83
    Activations Density 0.233%

    No Known Activations