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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
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    expressions of gratitude and thanks

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and thanks

    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
    soDeliveryDate
    -0.76
     damning
    -0.70
     contends
    -0.69
    ths
    -0.66
     warfare
    -0.65
    poses
    -0.64
     undesirable
    -0.64
    ãĤ¼ãĤ¦ãĤ¹
    -0.63
     hostilities
    -0.62
     bruising
    -0.62
    POSITIVE LOGITS
    ortium
    0.87
    iets
    0.78
    RIP
    0.76
     Thank
    0.76
     generously
    0.75
     congr
    0.72
     THANK
    0.72
     sponsors
    0.72
    omever
    0.70
    Thank
    0.69
    Activations Density 0.262%

    No Known Activations