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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. 10-RES-JB
    11. 4402
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    Explanations

    words related to the brain and its functions, particularly focusing on specific brain regions and activities

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =-=-
    -0.81
    Oil
    -0.80
    iquette
    -0.78
    wives
    -0.75
    isSpecialOrderable
    -0.75
    Weather
    -0.75
    BuyableInstoreAndOnline
    -0.73
    campaign
    -0.73
    Issue
    -0.72
     Riy
    -0.72
    POSITIVE LOGITS
     neurons
    1.93
     neural
    1.89
     neuronal
    1.80
     neuron
    1.74
     cortical
    1.74
     synaptic
    1.73
     cortex
    1.71
     hippocampus
    1.66
     brain
    1.64
     hippocamp
    1.63
    Activations Density 0.367%

    No Known Activations