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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. 7-RES-JB
    6. 4006
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    Explanations

    terms related to specific parts of the brain, particularly the prefrontal cortex and motor cortex, as well as concepts related to brain functions and development

    oai_token-act-pair · gpt-3.5-turbo

    references to various parts of the brain and their functions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Franch
    -1.01
    iversary
    -0.83
     anniversary
    -0.82
    ebook
    -0.78
    essee
    -0.76
     regretted
    -0.75
     Truck
    -0.74
    =-=-
    -0.74
    soDeliveryDate
    -0.74
    rek
    -0.72
    POSITIVE LOGITS
     neurons
    1.33
     neuron
    1.15
     neuronal
    1.14
     mammalian
    1.13
     enzymes
    1.13
     proteins
    1.12
     metabol
    1.10
     hypothal
    1.09
     neurotrans
    1.08
     metabolism
    1.07
    Activations Density 0.570%

    No Known Activations