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    9. 10-ATT-KK
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    Explanations

    instances of migration experiences, particularly related to Appalachian individuals moving to urban areas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L10_Hcat_z_lr1.20e-03_l11.30e+00_ds24576_bs4096_dc1.00e-05_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.10.attn.hook_z
    Hook Layer
    10
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.21
    1:0.06
    2:0.05
    3:0.10
    4:0.10
    5:0.02
    6:0.09
    7:0.11
    8:0.02
    9:0.05
    10:0.06
    11:0.07
    Negative Logits
     Bieber
    -2.95
    �
    -2.94
    Sing
    -2.91
     ABS
    -2.78
    ijk
    -2.77
     Airbus
    -2.75
     Sharks
    -2.71
     Singapore
    -2.70
    ikk
    -2.69
     SAP
    -2.68
    POSITIVE LOGITS
     Appalachian
    7.59
     Appalach
    7.52
     coal
    4.59
     Coal
    4.44
     Asheville
    4.29
     Tennessee
    4.19
    alach
    4.14
     Boone
    4.02
     Cherokee
    3.83
    coal
    3.77
    Activations Density 0.005%

    No Known Activations