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    3. Under Peer Review · Attention SAE Research Paper
    5. GPT2-Small
    7. Attention Out
    9. 2-ATT-KK
    11. 12908
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    INDEX
    Explanations

    phrases related to destruction or negative outcomes

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L2_Hcat_z_lr1.20e-03_l11.00e+00_ds24576_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v4.pt
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    float32
    Hook Name
    blocks.2.attn.hook_z
    Hook Layer
    2
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.04
    1:0.02
    2:0.22
    3:0.03
    4:0.28
    5:0.03
    6:0.03
    7:0.02
    8:0.14
    9:0.08
    10:0.04
    11:0.01
    Negative Logits
    nai
    -1.70
    say
    -1.67
    akeru
    -1.61
    soDeliveryDate
    -1.56
    entimes
    -1.55
    udic
    -1.54
    wat
    -1.53
    times
    -1.50
    uries
    -1.49
    ellar
    -1.48
    POSITIVE LOGITS
     havoc
    1.62
     Annex
    1.52
     Horde
    1.50
     inciner
    1.47
    -+-+
    1.45
     Slaughter
    1.44
     landfill
    1.36
    �
    1.36
     ptr
    1.34
    オ
    1.32
    Activations Density 0.016%

    No Known Activations