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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. 7-RES-JB
    11. 23681
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    Explanations

    words related to the advancement of technology

    oai_token-act-pair · gpt-3.5-turbo

    trends related to technological advancements and consumer demands

    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
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    No Comments

    Negative Logits
    mates
    -0.80
     plaque
    -0.69
     Rac
    -0.65
     behav
    -0.64
     Eps
    -0.64
     Broken
    -0.63
    vous
    -0.62
     Mild
    -0.61
     Hav
    -0.60
     Tit
    -0.60
    POSITIVE LOGITS
     technologically
    0.86
     automation
    0.81
     increasingly
    0.81
    increasing
    0.80
    technology
    0.79
    rane
    0.78
    Urban
    0.77
    fashion
    0.76
    consumer
    0.76
     democrat
    0.75
    Activations Density 0.500%

    No Known Activations