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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. 10-RES-JB
    11. 18891
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    Explanations

    references to sports players being selected, traded, or kept by teams

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual in a sports context

    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
     Mothers
    -0.71
     Feminist
    -0.68
    ollah
    -0.65
    CNN
    -0.64
     Gloria
    -0.64
     Wendy
    -0.64
     Survivors
    -0.63
     eyewitness
    -0.62
    Operation
    -0.62
     comedians
    -0.62
    POSITIVE LOGITS
     waivers
    1.13
     offensively
    0.99
     sidelined
    0.99
     cheaply
    0.94
    ranch
    0.91
     undrafted
    0.89
    signed
    0.88
     midway
    0.88
     drafted
    0.87
    rafted
    0.85
    Activations Density 0.276%

    No Known Activations