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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. 3-RES-JB
    6. 19323
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    Explanations

    words related to relationships between people or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to strong emotional experiences or attachments

    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
    ĵĺ
    -0.80
     Brist
    -0.55
     Corpus
    -0.52
    mx
    -0.52
     Adren
    -0.52
    Engineers
    -0.49
     Thanksgiving
    -0.49
     âĢº
    -0.48
     corpor
    -0.48
     Zac
    -0.47
    POSITIVE LOGITS
    ividual
    0.58
    miah
    0.58
    obyl
    0.57
    idon
    0.57
    ichick
    0.55
    eport
    0.55
    lings
    0.55
    osuke
    0.54
    rite
    0.53
    rafted
    0.52
    Activations Density 3.184%

    No Known Activations