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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. 3-RES-JB
    11. 23107
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    Explanations

    phrases related to the messaging platform "Whatsapp"

    oai_token-act-pair · gpt-3.5-turbo

    the word "Whats" and variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SOURCE
    -0.69
    fitting
    -0.66
     Gou
    -0.66
     rehab
    -0.66
    CVE
    -0.65
    JM
    -0.64
    REF
    -0.64
     Staten
    -0.64
    lished
    -0.64
     Ow
    -0.62
    POSITIVE LOGITS
     Whats
    0.97
     happ
    0.94
    omething
    0.93
    creen
    0.91
    soever
    0.89
    bour
    0.88
     whats
    0.88
    ocial
    0.87
    terness
    0.85
    ilon
    0.83
    Activations Density 0.009%

    No Known Activations