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    7. Attention Out
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    Explanations

    mentions of legal professionals and inappropriate behavior in a legal setting

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to professions or positions related to the legal field

    oai_token-act-pair · gpt-4o-miniTriggered 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
    2:0.08
    3:0.18
    4:0.03
    5:0.08
    6:0.08
    7:0.07
    8:0.06
    9:0.08
    10:0.14
    11:0.06
    Negative Logits
    brids
    -1.15
    urrencies
    -1.05
    yss
    -1.04
     channels
    -1.01
    bats
    -1.00
    ensions
    -0.99
     mosques
    -0.96
    iris
    -0.96
     Networks
    -0.95
    usterity
    -0.94
    POSITIVE LOGITS
    interstitial
    1.14
    ender
    1.14
     consisting
    1.08
    shoot
    1.05
    ifier
    1.01
    asher
    0.98
     racer
    0.94
    forcer
    0.94
    albeit
    0.92
     mustache
    0.92
    Activations Density 0.603%

    No Known Activations