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    3. Under Peer Review · Attention SAE Research Paper
    5. GPT2-Small
    7. Attention Out
    9. 9-ATT-KK
    11. 22239
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    Explanations

    references to worms, particularly in the context of computer security and malicious software

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L9_Hcat_z_lr1.20e-03_l11.20e+00_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.9.attn.hook_z
    Hook Layer
    9
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.07
    1:0.03
    2:0.09
    3:0.06
    4:0.05
    5:0.06
    6:0.19
    7:0.05
    8:0.06
    9:0.23
    10:0.04
    11:0.02
    Negative Logits
     Chapman
    -3.91
    rac
    -3.47
    Bo
    -3.40
    フォ
    -3.35
     �
    -3.33
    analy
    -3.32
    Ari
    -3.30
     Barron
    -3.30
    Profile
    -3.29
    Model
    -3.26
    POSITIVE LOGITS
     worm
    10.55
     worms
    9.59
     Worm
    8.80
    worm
    7.18
    worms
    7.16
     nem
    5.20
     parasites
    4.34
     parasite
    4.31
    estinal
    4.11
     tentacles
    4.09
    Activations Density 0.001%

    No Known Activations