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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. 12888
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms associated with brightness or light sources

    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
    Not in Any Lists

    No Comments

    Negative Logits
    FactoryReloaded
    -0.78
    CHA
    -0.74
    hers
    -0.69
    DOS
    -0.67
    ãģ¦
    -0.66
    date
    -0.66
     Sandwich
    -0.64
    iframe
    -0.64
    Access
    -0.64
    sburgh
    -0.63
    POSITIVE LOGITS
    osity
    1.22
     lumin
    1.09
     Lumin
    1.07
    ance
    0.94
    ifer
    0.94
    aries
    0.89
     candles
    0.80
    gow
    0.80
    umin
    0.80
    ously
    0.79
    Activations Density 0.011%

    No Known Activations