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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. 9-RES-JB
    11. 18088
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    Explanations

    keywords related to different ages or eras, especially related to technological advancements and social changes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the impact of technological advancements and digital culture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DERR
    -0.74
    autions
    -0.71
    icum
    -0.68
    wark
    -0.67
    icably
    -0.67
    auga
    -0.66
     unlawfully
    -0.65
    Aim
    -0.65
    lly
    -0.64
    listed
    -0.64
    POSITIVE LOGITS
     smartphones
    1.31
     globalization
    1.26
     iPhones
    1.07
     iPads
    1.06
     computers
    1.05
     digital
    1.04
     Internet
    1.03
     internet
    1.03
     automation
    0.94
     gadgets
    0.93
    Activations Density 0.482%

    No Known Activations