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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. 9-RES-JB
    11. 13301
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    Explanations

    mentions of different groups of people or professionals

    oai_token-act-pair · gpt-3.5-turbo

    references to various groups of people or demographics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶĢâĶĢâĶĢâĶĢ
    -0.77
    ãĤ¦ãĤ¹
    -0.71
    achable
    -0.65
    OD
    -0.64
    SPONSORED
    -0.64
    Alright
    -0.64
    ulates
    -0.62
    Translation
    -0.61
    yrinth
    -0.60
    isite
    -0.59
    POSITIVE LOGITS
     rejoice
    1.14
     beware
    1.13
     deserve
    1.10
     aren
    1.03
     outnumbered
    1.00
     comprise
    0.99
     overwhelmingly
    0.96
     are
    0.94
     everywhere
    0.93
     reacted
    0.92
    Activations Density 0.381%

    No Known Activations