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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. 3-RES-JB
    11. 15993
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    Explanations

    keywords related to computer hardware, particularly hard drives

    oai_token-act-pair · gpt-3.5-turbo

    references to storage devices and smartwatches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    sett
    -0.66
    oval
    -0.65
    requ
    -0.62
    é¾
    -0.61
     depth
    -0.60
    qqa
    -0.60
     jurisdiction
    -0.58
    yna
    -0.58
    anz
    -0.58
     Pett
    -0.57
    POSITIVE LOGITS
    phrine
    0.83
     headphones
    0.78
    aptop
    0.77
     Devices
    0.77
     devices
    0.77
    Samsung
    0.77
    Storage
    0.76
     Tablet
    0.75
    gers
    0.73
    Xbox
    0.71
    Activations Density 0.043%

    No Known Activations