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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. 10-RES-JB
    6. 519
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    Explanations

    the word "Me"

    oai_token-act-pair · gpt-3.5-turbo

    specific names and unique identifiers related to individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     LEG
    -0.82
     Newman
    -0.82
     Reyes
    -0.80
     Legends
    -0.78
    iel
    -0.78
     Kissinger
    -0.78
     MO
    -0.77
     RL
    -0.75
     Lori
    -0.73
     Kramer
    -0.72
    POSITIVE LOGITS
    AT
    1.48
    ats
    1.48
    at
    1.36
    rat
    1.33
    atted
    1.26
    mat
    1.18
    bat
    1.18
    atus
    1.17
     Mat
    1.16
    pat
    1.16
    Activations Density 0.312%

    No Known Activations