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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. 206
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    Explanations

    keywords related to specific beliefs or teachings

    oai_token-act-pair · gpt-3.5-turbo

    references to doctrines

    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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    Negative Logits
    ells
    -0.82
    ilee
    -0.69
    azar
    -0.68
    bors
    -0.66
    batch
    -0.64
    vals
    -0.63
    vous
    -0.63
    oÄŁ
    -0.62
    arcity
    -0.60
     Manz
    -0.60
    POSITIVE LOGITS
     doctrine
    1.23
     doctrines
    0.96
     Doctrine
    0.92
     guiActiveUn
    0.87
    istries
    0.84
    ually
    0.83
    ologies
    0.80
    ieu
    0.72
    arium
    0.72
     underpin
    0.71
    Activations Density 0.010%

    No Known Activations