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    3. Under Peer Review · Attention SAE Research Paper
    5. GPT2-Small
    7. Attention Out
    9. 5-ATT-KK
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    INDEX
    Explanations

    references to the concept of merit or merit-based evaluation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    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
    0:0.01
    1:0.01
    2:0.13
    3:0.05
    4:0.11
    5:0.03
    6:0.03
    7:0.42
    8:0.02
    9:0.02
    10:0.06
    11:0.06
    Negative Logits
    URA
    -1.76
    runners
    -1.62
    ��極
    -1.61
    LIN
    -1.60
    OGR
    -1.55
     merry
    -1.52
    guards
    -1.47
    shadow
    -1.46
    knit
    -1.46
    enfranch
    -1.46
    POSITIVE LOGITS
     Flavoring
    2.13
     Proposition
    1.77
     arguments
    1.74
     appeal
    1.72
     merits
    1.71
     Contest
    1.63
     propositions
    1.62
     proposition
    1.58
     validity
    1.53
     legitimacy
    1.52
    Activations Density 0.001%

    No Known Activations