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    2. Under Peer Review · Attention SAE Research Paper
    3. GPT2-Small
    4. Attention Out
    5. 3-ATT-KK
    6. 10062
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    Explanations

    the word "who" in various contexts, indicating a focus on subjects or entities being referred to

    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
    0:0.05
    1:0.04
    2:0.08
    3:0.10
    4:0.03
    5:0.07
    6:0.07
    7:0.13
    8:0.08
    9:0.06
    10:0.17
    11:0.05
    Negative Logits
    ret
    -1.25
    reck
    -1.13
     timing
    -1.10
     sunset
    -1.06
    english
    -1.04
     bang
    -1.04
    Wind
    -1.03
    dies
    -1.03
     Wast
    -1.03
    eport
    -1.02
    POSITIVE LOGITS
    anchester
    1.41
     disenfranch
    1.14
     contributed
    1.13
    enfranch
    1.11
     sacrific
    1.10
    acebook
    1.07
    ngth
    1.07
     conscientious
    1.06
    pired
    1.05
    chwitz
    1.04
    Activations Density 0.089%

    No Known Activations