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    3. Under Peer Review · Attention SAE Research Paper
    5. GPT2-Small
    7. Attention Out
    9. 3-ATT-KK
    11. 13496
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    Explanations

    phrases related to cities and countries

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to cities and urban environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L3_Hcat_z_lr1.20e-03_l19.00e-01_ds24576_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v9.pt
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    float32
    Hook Name
    blocks.3.attn.hook_z
    Hook Layer
    3
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.02
    1:0.02
    2:0.09
    3:0.08
    4:0.03
    5:0.06
    6:0.10
    7:0.28
    8:0.05
    9:0.04
    10:0.10
    11:0.06
    Negative Logits
    PLIED
    -1.28
    alion
    -1.14
     mate
    -1.12
    Accessory
    -1.12
    GEN
    -1.11
    worthiness
    -1.03
     suggestion
    -1.02
     Squadron
    -1.00
    IENT
    -1.00
     bodily
    -1.00
    POSITIVE LOGITS
     towns
    1.38
    pop
    1.36
     districts
    1.31
     suburbs
    1.31
    united
    1.28
     neighbourhoods
    1.24
     museums
    1.24
     neighborhoods
    1.22
     converge
    1.19
     parks
    1.18
    Activations Density 0.040%

    No Known Activations