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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. 8224
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    Explanations

    mentions of the messaging service WhatsApp

    oai_token-act-pair · gpt-3.5-turbo
    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
    gling
    -0.80
    opez
    -0.77
    heid
    -0.74
    venge
    -0.66
    bard
    -0.65
    egal
    -0.64
     Bellev
    -0.63
    alties
    -0.63
     ancest
    -0.62
     Salem
    -0.61
    POSITIVE LOGITS
     WhatsApp
    0.88
     Hots
    0.80
    soever
    0.75
    ika
    0.75
     Messenger
    0.74
     alerts
    0.70
     Tanz
    0.69
    afety
    0.68
     Airways
    0.68
     âĢº
    0.68
    Activations Density 0.012%

    No Known Activations