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    3. Under Peer Review · Attention SAE Research Paper
    5. GPT2-Small
    7. Attention Out
    9. 5-ATT-KK
    11. 4905
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    Explanations

    the use of past or present tense verbs in connection with positive or anticipatory feelings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L5_Hcat_z_lr1.20e-03_l11.00e+00_ds49152_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v9.pt
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    49,152
    Data Type
    float32
    Hook Name
    blocks.5.attn.hook_z
    Hook Layer
    5
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.01
    1:0.01
    2:0.06
    3:0.05
    4:0.11
    5:0.03
    6:0.07
    7:0.41
    8:0.03
    9:0.04
    10:0.06
    11:0.07
    Negative Logits
    juries
    -1.67
    oulder
    -1.52
    utterstock
    -1.46
    anchez
    -1.44
    selage
    -1.39
    stadt
    -1.38
    セ
    -1.32
    abus
    -1.32
    ロ
    -1.32
    =~=~
    -1.30
    POSITIVE LOGITS
     champagne
    1.74
     wines
    1.68
    arbon
    1.65
     ard
    1.62
     spirits
    1.59
     candles
    1.56
     wine
    1.52
     vig
    1.45
     cocktails
    1.44
     anticipation
    1.42
    Activations Density 0.001%

    No Known Activations