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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. 7-RES-JB
    11. 11324
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    Explanations

    instances where people interact or engage with each other

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "we" and references to shared experiences or relationships

    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
    trak
    -0.80
     Pwr
    -0.75
    raf
    -0.73
    cells
    -0.70
    Downloadha
    -0.68
    ante
    -0.66
    alys
    -0.66
    oak
    -0.65
    fect
    -0.64
    roach
    -0.64
    POSITIVE LOGITS
     parted
    0.94
    IRD
    0.93
    're
    0.81
     mutually
    0.78
    emate
    0.76
     reunion
    0.75
     insepar
    0.73
    ird
    0.72
     banter
    0.72
     adjourn
    0.72
    Activations Density 0.303%

    No Known Activations