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

    references to penalties and fines in legal or regulatory contexts

    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
    0:0.01
    1:0.02
    2:0.05
    3:0.14
    4:0.02
    5:0.07
    6:0.10
    7:0.29
    8:0.05
    9:0.04
    10:0.07
    11:0.07
    Negative Logits
    ahime
    -1.40
    龍喚士
    -1.37
    ゼウス
    -1.30
    ravis
    -1.21
    Sense
    -1.20
     Cros
    -1.19
     Teach
    -1.18
    thia
    -1.17
    ovy
    -1.14
    iscover
    -1.13
    POSITIVE LOGITS
     penalty
    1.43
     penalties
    1.41
     deterrent
    1.39
     levied
    1.32
     ineffective
    1.25
     offences
    1.24
     stemming
    1.24
     incurred
    1.24
     punishable
    1.23
     extortion
    1.22
    Activations Density 0.025%

    No Known Activations