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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
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    Explanations

    references related to asylum and asylum seekers

    oai_token-act-pair · gpt-3.5-turbo

    terms related to asylum seekers

    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
    dain
    -0.64
     Tire
    -0.64
     Hobby
    -0.63
    tons
    -0.63
    omething
    -0.63
     Kers
    -0.62
    ithing
    -0.62
     Toast
    -0.61
    uns
    -0.61
    icks
    -0.61
    POSITIVE LOGITS
     seeker
    1.58
     seekers
    1.58
     refugee
    0.97
    ylum
    0.95
     resettlement
    0.94
     Refugees
    0.90
     detention
    0.89
     clearance
    0.89
     detain
    0.88
     asylum
    0.88
    Activations Density 0.028%

    No Known Activations