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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. 1-RES-JB
    11. 14195
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    Explanations

    references to medical conditions and treatments related to breastfeeding and infants

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to healthcare and medical topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĹ¼
    -0.79
    Secondly
    -0.69
     reper
    -0.57
     aforementioned
    -0.57
    illes
    -0.56
    heny
    -0.55
     Secondly
    -0.54
    iris
    -0.52
     successors
    -0.51
     preceding
    -0.51
    POSITIVE LOGITS
     âĢº
    0.86
    ashtra
    0.67
    VIDIA
    0.64
    oshenko
    0.61
     âĢİ
    0.61
     Belfast
    0.61
    maxwell
    0.60
     Quote
    0.60
    atform
    0.60
    20439
    0.58
    Activations Density 2.936%

    No Known Activations