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    7. Attention Out
    9. 9-ATT-KK
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    Explanations
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    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
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    Head Attr Weights
    0:0.07
    1:0.09
    2:0.08
    3:0.07
    4:0.07
    5:0.10
    6:0.08
    7:0.09
    8:0.08
    9:0.07
    10:0.08
    11:0.08
    Negative Logits
    �
    -2.62
    uddin
    -2.60
     Afghanistan
    -2.53
    apons
    -2.47
    oped
    -2.46
    addock
    -2.44
    Army
    -2.40
     Recon
    -2.37
    lied
    -2.31
     Bridgewater
    -2.29
    POSITIVE LOGITS
    jriwal
    2.72
     adjourn
    2.68
    tumblr
    2.63
     Flickr
    2.61
     welf
    2.58
     POV
    2.55
     mischief
    2.51
     nightly
    2.48
    pmwiki
    2.47
     chore
    2.42
    Activations Density 0.000%

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    This feature has no known activations.