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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. 7-RES-JB
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    Explanations

    references to Wi-Fi networks or connectivity

    oai_token-act-pair · gpt-3.5-turbo

    references to Wi-Fi connectivity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kus
    -0.84
    kj
    -0.73
    ean
    -0.72
    20439
    -0.70
    pard
    -0.70
    nings
    -0.69
    otte
    -0.69
    xus
    -0.67
    pha
    -0.67
    ciating
    -0.67
    POSITIVE LOGITS
     hots
    1.01
     Connection
    0.97
     Router
    0.92
    Gate
    0.89
    Adapter
    0.89
     routers
    0.89
    Fi
    0.89
    Wi
    0.86
     router
    0.85
     connectivity
    0.82
    Activations Density 0.026%

    No Known Activations