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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 4677
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    Explanations

    specific mentions of events or actions related to law enforcement or emergency situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "was" indicating past situations or events

    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
    Not in Any Lists

    No Comments

    Negative Logits
    inav
    -0.81
    olon
    -0.69
     Highlights
    -0.67
    iates
    -0.67
     Telescope
    -0.67
    arta
    -0.67
     entails
    -0.66
    isms
    -0.66
    ãĥķãĤ¡
    -0.65
     merits
    -0.64
    POSITIVE LOGITS
     arrested
    1.09
     supposed
    1.07
     able
    1.05
     sentenced
    1.02
     transported
    1.02
     arra
    1.01
     hospitalized
    1.00
     killed
    0.97
     taken
    0.97
     apprehended
    0.97
    Activations Density 0.261%

    No Known Activations