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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. 20120
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    Explanations

    words related to data transmission and capacity (e.g., bandwidth, throughput)

    oai_token-act-pair · gpt-3.5-turbo

    terms related to data transfer rates and communication technology

    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
     Martinez
    -0.87
    Mart
    -0.81
     Marsh
    -0.77
     Maz
    -0.73
     Marqu
    -0.72
     Mich
    -0.71
     Roberto
    -0.69
     Hur
    -0.67
    odge
    -0.67
    icer
    -0.65
    POSITIVE LOGITS
     bandwidth
    3.61
     throughput
    1.54
     latency
    1.41
     wavelength
    1.23
     connectivity
    1.22
     broadband
    1.18
    bps
    1.15
     codec
    1.06
    velength
    1.04
     frequencies
    1.04
    Activations Density 0.014%

    No Known Activations