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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. 4679
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    Explanations

    instances where a specific person took office or came into power

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving the act of taking office or arrival in a position of power

    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
     Cosponsors
    -0.72
    ILY
    -0.70
    itely
    -0.67
    pmwiki
    -0.65
    ouble
    -0.64
    âĨij
    -0.63
    ternally
    -0.63
    orable
    -0.62
    ificantly
    -0.61
    respective
    -0.61
    POSITIVE LOGITS
     office
    0.72
     tenure
    0.65
     landfall
    0.60
    ranch
    0.60
     Pill
    0.60
     Wings
    0.57
     helm
    0.56
     VIS
    0.55
     puberty
    0.55
     Postal
    0.55
    Activations Density 0.283%

    No Known Activations