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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. 6-RES-JB
    11. 7744
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    Explanations

    mentions of the e-reader device "Kindle"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Kindle e-reader

    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
    nel
    -0.84
    xual
    -0.81
    alez
    -0.80
    dinand
    -0.79
    aird
    -0.67
    orkshire
    -0.67
    autical
    -0.66
    ourgeois
    -0.65
     cler
    -0.65
    eric
    -0.65
    POSITIVE LOGITS
     Kindle
    0.88
    Books
    0.80
     Torch
    0.79
     Fires
    0.77
     Fire
    0.71
    Reader
    0.71
     Voy
    0.70
     Galaxy
    0.70
     Haram
    0.70
    THER
    0.70
    Activations Density 0.014%

    No Known Activations