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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. 7-RES-JB
    11. 11286
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    Explanations

    mentions of various colors and names related to "lavender"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and terms related to 'lav' and 'legion', as well as thematic elements connected to laundry

    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
    ulator
    -0.74
     Journals
    -0.72
    ters
    -0.71
    ulative
    -0.71
    ulates
    -0.70
    ulating
    -0.67
    pend
    -0.67
    manship
    -0.67
    ushima
    -0.67
    Ĥª
    -0.66
    POSITIVE LOGITS
    naire
    0.95
    ysis
    0.95
    iolet
    0.92
    çļ
    0.90
    antine
    0.83
    onge
    0.83
    raq
    0.78
    adium
    0.78
    ACY
    0.77
    naires
    0.75
    Activations Density 0.047%

    No Known Activations