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    Explanations

    The main thing this neuron does is find words related to physical damage or destruction

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L2_Hcat_z_lr1.20e-03_l11.00e+00_ds24576_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v4.pt
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    float32
    Hook Name
    blocks.2.attn.hook_z
    Hook Layer
    2
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.06
    1:0.02
    2:0.23
    3:0.06
    4:0.22
    5:0.05
    6:0.02
    7:0.02
    8:0.05
    9:0.13
    10:0.04
    11:0.02
    Negative Logits
    ayne
    -1.44
    �
    -1.44
    appropriately
    -1.39
    ramid
    -1.38
    ér
    -1.35
    aea
    -1.34
    ascript
    -1.33
    nostic
    -1.32
    ramids
    -1.32
     SetFontSize
    -1.31
    POSITIVE LOGITS
     beetle
    1.47
    Dev
    1.32
    beat
    1.30
     Martian
    1.26
     EV
    1.26
     pests
    1.25
     pest
    1.25
    �
    1.25
     foe
    1.24
    urous
    1.23
    Activations Density 0.003%

    No Known Activations