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    2. Under Peer Review · Attention SAE Research Paper
    3. GPT2-Small
    4. Attention Out
    5. 3-ATT-KK
    6. 7950
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    INDEX
    Explanations

    characteristics related to racing events and performance metrics

    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
    1:0.03
    2:0.07
    3:0.09
    4:0.04
    5:0.05
    6:0.11
    7:0.30
    8:0.07
    9:0.07
    10:0.05
    11:0.04
    Negative Logits
    uyomi
    -1.24
    ollar
    -1.23
     Cheong
    -1.21
    omsky
    -1.19
    ucket
    -1.15
    ropy
    -1.07
    ファ
    -1.06
    stadt
    -1.05
    artz
    -1.02
     Helpful
    -1.02
    POSITIVE LOGITS
     championships
    1.22
     Females
    1.17
     scenery
    1.15
     weekends
    1.13
     fitt
    1.09
     Trophy
    1.08
     Janeiro
    1.08
    mania
    1.03
     prem
    1.02
     endurance
    1.02
    Activations Density 0.025%

    No Known Activations