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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. 0-RES-JB
    11. 22622
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    Explanations

    references to electronic devices, specifically focusing on smartphones and gadgets

    oai_token-act-pair · gpt-3.5-turbo

    references to electronic devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     winters
    -0.82
    hin
    -0.76
    steen
    -0.74
    iors
    -0.71
    shine
    -0.70
     squats
    -0.70
     Mondays
    -0.67
    raised
    -0.65
    votes
    -0.65
    raising
    -0.64
    POSITIVE LOGITS
     device
    3.53
     devices
    2.76
    device
    2.70
     Device
    2.63
    Device
    2.28
     Devices
    2.28
    devices
    1.98
     gadget
    1.85
     handset
    1.77
     tablet
    1.55
    Activations Density 0.012%

    No Known Activations