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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. 2-RES-JB
    11. 22347
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    Explanations

    keywords related to digital communication applications, specifically focusing on WhatsApp

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Whats" and related phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urally
    -0.78
    JM
    -0.74
    SOURCE
    -0.72
    LECT
    -0.70
    lished
    -0.67
    REF
    -0.67
    CVE
    -0.65
    æµ
    -0.64
    iling
    -0.63
     Bellev
    -0.63
    POSITIVE LOGITS
     Whats
    0.98
    creen
    0.94
     happ
    0.89
     whats
    0.86
    hower
    0.83
    peed
    0.83
    soever
    0.82
    omething
    0.80
    ilon
    0.79
    bits
    0.79
    Activations Density 0.010%

    No Known Activations