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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. 12103
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    Explanations

    mentions of electronic devices

    oai_token-act-pair · gpt-3.5-turbo

    references to technological 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
    nery
    -0.72
    unc
    -0.66
    anse
    -0.66
    ja
    -0.66
    coat
    -0.66
     vet
    -0.66
    steen
    -0.66
    tan
    -0.66
    ffen
    -0.65
    yu
    -0.65
    POSITIVE LOGITS
     devices
    3.61
     Devices
    2.87
     device
    2.64
    devices
    2.60
     gadgets
    2.17
    device
    2.13
     Device
    2.10
    Device
    2.00
     machines
    1.93
     phones
    1.91
    Activations Density 0.011%

    No Known Activations