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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 9516
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    Explanations

    CSS styling properties related to specifying sizes in pixels

    oai_token-act-pair · gpt-3.5-turbo

    measurements and specifications related to screen resolution and pixel attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    zona
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     à¨
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    à¨
    -0.73
    ostics
    -0.69
    izational
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    ggies
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    POSITIVE LOGITS
    px
    0.91
    reme
    0.76
    elsius
    0.73
    ixels
    0.71
    isine
    0.70
     rg
    0.69
     CTR
    0.68
    align
    0.67
    arate
    0.66
    heric
    0.65
    Activations Density 0.010%

    No Known Activations