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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 13470
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    oai_token-act-pair · gpt-3.5-turbo

    references to wireless technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    auder
    -0.84
    udo
    -0.82
    ablishment
    -0.81
     Rite
    -0.80
    uation
    -0.80
    erion
    -0.80
    arate
    -0.78
     Minerva
    -0.78
    ilts
    -0.77
    ivia
    -0.77
    POSITIVE LOGITS
     carriers
    0.95
     broadband
    0.89
     connectivity
    0.88
     networks
    0.85
     networking
    0.84
    phone
    0.83
     routers
    0.83
     devices
    0.82
     carrier
    0.81
     wireless
    0.80
    Activations Density 0.017%

    No Known Activations