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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. 1-RES-JB
    11. 2079
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    Explanations

    mentions of electronic devices

    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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ta
    -0.85
     Kern
    -0.74
     Nights
    -0.70
    story
    -0.67
    stad
    -0.66
    ership
    -0.66
     Gulf
    -0.65
    atorium
    -0.65
    xual
    -0.64
     coli
    -0.64
    POSITIVE LOGITS
     devices
    1.32
     Devices
    1.30
    devices
    1.16
    awei
    1.04
     gadgets
    1.00
     device
    1.00
     Device
    0.97
    device
    0.95
     architectures
    0.89
    Device
    0.89
    Activations Density 0.014%

    No Known Activations