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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. 8-RES-JB
    11. 8256
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    Explanations

    references to mobile devices and applications

    oai_token-act-pair · gpt-3.5-turbo

    references to mobile technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    xual
    -0.81
    heimer
    -0.73
    chell
    -0.72
    atche
    -0.72
    alin
    -0.72
    vous
    -0.71
    ylum
    -0.71
    hov
    -0.69
    rea
    -0.69
    nces
    -0.68
    POSITIVE LOGITS
     phones
    1.06
    phones
    0.97
     devices
    0.92
     phone
    0.89
     platforms
    0.84
    phone
    0.82
     carriers
    0.80
    devices
    0.80
     broadband
    0.79
     device
    0.79
    Activations Density 0.031%

    No Known Activations