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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. 3-RES-JB
    11. 15393
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    Explanations

    words related to names, dates, and places

    oai_token-act-pair · gpt-3.5-turbo

    specific names of places or organizations

    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
     commod
    -0.58
     sharp
    -0.56
     pretext
    -0.56
     whistle
    -0.54
     reckoning
    -0.54
     vigilance
    -0.54
    sect
    -0.53
     nod
    -0.52
     keynote
    -0.52
    availability
    -0.51
    POSITIVE LOGITS
    IES
    1.09
    ED
    1.07
    ILL
    1.04
    OUS
    1.03
    ING
    1.02
    ATION
    1.02
    ERS
    1.02
    LES
    1.01
    ADE
    1.01
    ERA
    1.01
    Activations Density 0.189%

    No Known Activations