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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. 11-RES-JB
    11. 17534
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    Explanations

    references to sports players being signed or drafted by teams

    oai_token-act-pair · gpt-3.5-turbo

    references to sports trades and player transactions

    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
     Ministers
    -0.73
     Mothers
    -0.68
     Feminist
    -0.67
     Survivors
    -0.66
     Governments
    -0.64
     Wendy
    -0.61
     NGOs
    -0.60
     OPER
    -0.59
    Guide
    -0.59
     feminists
    -0.59
    POSITIVE LOGITS
     waivers
    1.14
     undrafted
    1.08
     cheaply
    1.06
     offensively
    0.95
    rafted
    0.95
     infield
    0.95
    ãĤ¨ãĥ«
    0.91
     midway
    0.89
    signed
    0.88
     RHP
    0.87
    Activations Density 0.166%

    No Known Activations