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    5. GPT2-Small
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    INDEX
    Explanations

    negative sentiment and words that reflect negativity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L5_Hcat_z_lr1.20e-03_l11.00e+00_ds49152_bs4096_dc1.00e-06_rsanthropic_rie25000_nr4_v9.pt
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    49,152
    Data Type
    float32
    Hook Name
    blocks.5.attn.hook_z
    Hook Layer
    5
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.27
    1:0.10
    2:0.05
    3:0.05
    4:0.06
    5:0.10
    6:0.06
    7:0.02
    8:0.07
    9:0.07
    10:0.05
    11:0.05
    Negative Logits
     derogatory
    -1.72
     positions
    -1.71
     sovere
    -1.71
     relat
    -1.66
     ET
    -1.58
     respectively
    -1.50
     persona
    -1.48
     movements
    -1.48
     associations
    -1.44
     associated
    -1.44
    POSITIVE LOGITS
    fortunately
    2.35
    APTER
    2.09
    WARE
    1.92
    Sadly
    1.91
    Either
    1.88
    anwhile
    1.86
    Luckily
    1.86
    Thankfully
    1.86
    acerb
    1.84
     moreover
    1.83
    Activations Density 0.001%

    No Known Activations