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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 3142
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    Explanations

    themes related to revenge

    oai_token-act-pair · gpt-3.5-turbo

    themes of revenge

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Continental
    -0.69
     Sturgeon
    -0.69
    âĢ¢âĢ¢
    -0.68
     Finnish
    -0.67
     CFR
    -0.66
    fman
    -0.66
    ikk
    -0.65
    baum
    -0.65
    ------------------------------------------------
    -0.65
    66666666
    -0.64
    POSITIVE LOGITS
     revenge
    1.20
     vengeance
    1.07
     retribution
    0.99
     aven
    0.99
     reven
    0.95
    venge
    0.90
    ful
    0.83
     rematch
    0.78
     retaliation
    0.78
    fulness
    0.77
    Activations Density 0.011%

    No Known Activations