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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. 867
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    Explanations

    words related to positive attributes and qualities, focusing on simplicity, modesty, and sincerity

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to sincerity and universal ideals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    inoa
    -0.94
    Baby
    -0.91
    ographics
    -0.91
    igslist
    -0.86
    NPR
    -0.84
    TPS
    -0.82
    thumbnails
    -0.82
    boarding
    -0.82
    ampunk
    -0.81
    ļéĨĴ
    -0.81
    POSITIVE LOGITS
     pecul
    1.20
     doctrine
    1.20
     virtues
    1.17
     virtue
    1.17
     splend
    1.16
     precept
    1.16
     doctrines
    1.14
     intercourse
    1.13
     appell
    1.12
     conception
    1.12
    Activations Density 0.358%

    No Known Activations