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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. 11-RES-JB
    6. 18239
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    Explanations

    phrases indicating something that has never been done or seen before

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating unprecedented occurrences or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Torrent
    -0.66
    ument
    -0.61
     deletion
    -0.61
     Bulg
    -0.60
     Mandatory
    -0.59
    soType
    -0.58
     Emails
    -0.57
     Carly
    -0.57
     Bullets
    -0.56
     Moral
    -0.56
    POSITIVE LOGITS
     dreamed
    1.08
     imaginable
    1.06
    before
    1.05
     imagined
    1.02
     before
    1.00
     previously
    0.99
     hitherto
    0.97
    seen
    0.94
    ¥µ
    0.93
     existed
    0.92
    Activations Density 0.168%

    No Known Activations