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    7. Attention Out
    9. 3-ATT-KK
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    Explanations

    words related to financial services and assistance specifically targeting elderly and disabled individuals

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

    mentions of elderly individuals and their situations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L3_Hcat_z_lr1.20e-03_l19.00e-01_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.3.attn.hook_z
    Hook Layer
    3
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.03
    1:0.03
    2:0.04
    3:0.11
    4:0.04
    5:0.05
    6:0.12
    7:0.22
    8:0.04
    9:0.03
    10:0.11
    11:0.12
    Negative Logits
    ��
    -1.69
    �士
    -1.47
    モ
    -1.42
    ��
    -1.37
    ケ
    -1.37
    ォ
    -1.36
    版
    -1.32
    �
    -1.32
    ゴン
    -1.31
    ═
    -1.26
    POSITIVE LOGITS
    leanor
    1.19
     frail
    1.19
     pension
    1.18
     nursing
    1.16
    ntil
    1.15
     Disability
    1.14
    unctions
    1.09
    enfranch
    1.07
     retirees
    1.06
     Dying
    1.06
    Activations Density 0.005%

    No Known Activations