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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. 24150
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    Explanations

    words related to being under some kind of pressure or investigation

    oai_token-act-pair · gpt-3.5-turbo

    references to being "under" various types of scrutiny, pressure, or conditions

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     VIDEOS
    -0.75
     Papers
    -0.74
     Begins
    -0.74
     Retrieved
    -0.66
     supra
    -0.59
     Ahead
    -0.58
    Hello
    -0.57
     Started
    -0.57
    Americ
    -0.57
     emits
    -0.56
    POSITIVE LOGITS
    developed
    1.14
    whel
    1.14
    valued
    1.13
    represented
    1.10
    util
    1.08
    lain
    1.06
    performing
    1.06
     scrutiny
    1.05
    whelming
    1.04
    cutting
    1.03
    Activations Density 0.049%

    No Known Activations