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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 19810
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    Explanations

    phrases related to persistence or continuation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of hanging or being suspended

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
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    taboola
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    ²¾
    -0.80
    cession
    -0.75
    qua
    -0.74
    olkien
    -0.74
    eller
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    GM
    -0.72
    POSITIVE LOGITS
     wrists
    0.76
     greet
    0.72
     trophies
    0.68
     fences
    0.66
     handcuffs
    0.65
     bags
    0.64
     hangs
    0.64
     shack
    0.64
     torches
    0.62
     implements
    0.62
    Activations Density 0.056%

    No Known Activations