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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. 6-RES-JB
    6. 8302
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    Explanations

    words related to generating or creating something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "generate" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nee
    -0.81
    hai
    -0.77
    mare
    -0.74
    yer
    -0.71
    hid
    -0.68
    say
    -0.68
    uku
    -0.68
    gerald
    -0.66
    phis
    -0.65
    phia
    -0.64
    POSITIVE LOGITS
     generators
    0.85
     kWh
    0.84
     generate
    0.81
     electricity
    0.80
     generates
    0.76
     revenue
    0.75
     generated
    0.74
     generator
    0.74
    generated
    0.73
     generating
    0.72
    Activations Density 0.028%

    No Known Activations