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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
    11. 17012
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    Explanations

    references to electronic devices, particularly smartphones and tablets

    oai_token-act-pair · gpt-3.5-turbo

    references to devices, specifically Android devices

    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
    steen
    -0.84
    atorium
    -0.79
    hound
    -0.73
    ta
    -0.73
    tern
    -0.70
    osta
    -0.70
    stad
    -0.70
    olulu
    -0.69
    ctuary
    -0.69
    hov
    -0.67
    POSITIVE LOGITS
     devices
    1.01
     Devices
    0.89
     emulator
    0.84
     device
    0.81
     Device
    0.81
    awei
    0.80
     wallets
    0.79
     phones
    0.77
    devices
    0.76
     gadgets
    0.73
    Activations Density 0.013%

    No Known Activations