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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. 9-RES-JB
    11. 23819
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    Explanations

    words related to voting and elections

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to voting and electoral participation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ĸļ
    -0.88
    DragonMagazine
    -0.76
    ãĤ¦ãĤ¹
    -0.64
    ãĥİ
    -0.62
    sels
    -0.58
    ãĥ¼ãĥĨãĤ£
    -0.58
    pmwiki
    -0.57
    Disk
    -0.57
     forgetting
    -0.56
    terness
    -0.56
    POSITIVE LOGITS
     unless
    0.96
     someday
    0.91
     anymore
    0.89
     regardless
    0.83
     anywhere
    0.81
     safely
    0.80
    .
    0.79
     anytime
    0.79
    due
    0.78
     outdoors
    0.77
    Activations Density 0.388%

    No Known Activations