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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 230
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    Explanations

    words related to refugees and migrants

    oai_token-act-pair · gpt-3.5-turbo

    references to the arrival and integration of refugees and migrants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Vapor
    -0.95
    natureconservancy
    -0.91
     Mahjong
    -0.85
    £ı
    -0.77
     microscope
    -0.72
    ãĤ¦ãĤ¹
    -0.69
     NAD
    -0.68
     chrom
    -0.67
    MET
    -0.67
     Macintosh
    -0.66
    POSITIVE LOGITS
     resettlement
    1.25
     fleeing
    1.20
     refugees
    1.18
     UNHCR
    1.16
     visas
    1.16
     refugee
    1.14
     foreigners
    1.12
     migrants
    1.10
     illegally
    1.10
     deport
    1.07
    Activations Density 0.441%

    No Known Activations