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    2. Under Peer Review · Attention SAE Research Paper
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    4. Attention Out
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    Explanations

    phrases related to urban transit planning and infrastructure development

    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
    0:0.09
    1:0.02
    2:0.09
    3:0.15
    4:0.05
    5:0.23
    6:0.04
    7:0.07
    8:0.08
    9:0.03
    10:0.05
    11:0.04
    Negative Logits
    onomy
    -2.10
    mma
    -2.10
    onom
    -2.05
    gorithm
    -1.96
    emark
    -1.88
     legality
    -1.86
     fate
    -1.82
     Laws
    -1.80
    hesive
    -1.79
     rigging
    -1.71
    POSITIVE LOGITS
     Arts
    1.88
     Angeles
    1.76
     Beverly
    1.71
    BD
    1.68
    Ber
    1.68
     Luther
    1.67
     Clair
    1.66
     Mississ
    1.65
     Finch
    1.61
     Berks
    1.59
    Activations Density 0.239%

    No Known Activations