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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. 14305
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    topics related to healthcare and medical conditions

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Vaugh
    -0.65
    >>>>>>>>
    -0.51
     Mehran
    -0.48
    udos
    -0.48
     Canaver
    -0.48
     conclud
    -0.46
    eday
    -0.46
     horizont
    -0.45
    theless
    -0.45
     nep
    -0.45
    POSITIVE LOGITS
    picked
    0.41
     household
    0.39
     respective
    0.38
     ancestor
    0.38
    opl
    0.38
     industrial
    0.38
     illustrious
    0.37
    frames
    0.37
    ims
    0.36
    zhou
    0.36
    Activations Density 2.532%

    No Known Activations