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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. 8-RES-JB
    11. 22276
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    Explanations

    phrases related to social issues or community concerns

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to brands and consumer relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Lv
    -0.66
     `
    -0.64
     Zi
    -0.62
    ³³
    -0.61
     ['
    -0.60
    Had
    -0.59
     Emin
    -0.59
     [*]
    -0.59
     UNCLASSIFIED
    -0.59
     ³³
    -0.58
    POSITIVE LOGITS
     downright
    0.80
     often
    0.80
    ometimes
    0.77
     perks
    0.75
    utterstock
    0.74
     nonetheless
    0.74
     gadgets
    0.73
     ingrained
    0.71
     marketers
    0.71
     intangible
    0.71
    Activations Density 1.710%

    No Known Activations