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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. 4-RES-JB
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    Explanations

    the word "asylum" with various intensities

    oai_token-act-pair · gpt-3.5-turbo

    references to asylum seekers

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

    No Comments

    Negative Logits
     Kers
    -0.81
    OTS
    -0.75
     snipp
    -0.72
    nant
    -0.70
     Mustang
    -0.67
    efer
    -0.66
    ;;;;;;;;
    -0.65
    uez
    -0.65
     Slim
    -0.64
    ipes
    -0.63
    POSITIVE LOGITS
     seekers
    1.33
     seeker
    1.32
     asylum
    1.16
    ylum
    1.12
     refugee
    1.01
     clearance
    0.99
     resettlement
    0.94
     Refugees
    0.94
     visas
    0.91
     detention
    0.90
    Activations Density 0.013%

    No Known Activations