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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. 20152
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    Explanations

    specific years and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates, locations, and political events

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    yssey
    -0.70
     wishes
    -0.66
    onut
    -0.64
    needs
    -0.63
     wants
    -0.63
    erd
    -0.62
    Object
    -0.62
    ISION
    -0.61
    eral
    -0.61
     isEnabled
    -0.60
    POSITIVE LOGITS
     abound
    1.20
     attest
    0.89
     totaling
    0.89
     ranging
    0.88
     indicate
    0.87
     culminating
    0.86
     ensued
    0.85
     pertaining
    0.83
     periphery
    0.83
     occurring
    0.83
    Activations Density 0.765%

    No Known Activations