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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. 4-RES-JB
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    Explanations

    instances where the word "Whatsapp" is mentioned

    oai_token-act-pair · gpt-3.5-turbo

    the term "WhatsApp" and its variations in context

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

    No Comments

    Negative Logits
    REF
    -0.71
    fitting
    -0.66
    JM
    -0.65
    Closure
    -0.65
    CVE
    -0.64
     rehab
    -0.64
    lished
    -0.63
    SOURCE
    -0.62
    istically
    -0.62
     Staten
    -0.62
    POSITIVE LOGITS
    creen
    0.93
     Whats
    0.92
    hower
    0.86
    ilon
    0.85
     whats
    0.83
     happ
    0.82
    bour
    0.82
    cha
    0.82
    ocial
    0.81
    ername
    0.79
    Activations Density 0.009%

    No Known Activations