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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. 3-RES-JB
    6. 19640
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    Explanations

    phrases related to accreditation or official recognition

    oai_token-act-pair · gpt-3.5-turbo

    references to accreditation and standards in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OPLE
    -0.78
    geist
    -0.75
    NING
    -0.72
    bian
    -0.71
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.68
    erness
    -0.66
     hope
    -0.66
    haar
    -0.66
    çķ
    -0.65
     Dare
    -0.64
    POSITIVE LOGITS
    redited
    1.21
    ompl
    1.14
    reditation
    1.14
    ommod
    1.13
    enture
    1.09
    laim
    1.03
    identally
    1.02
    used
    1.02
    iona
    1.00
    idental
    0.98
    Activations Density 0.007%

    No Known Activations