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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. 2-RES-JB
    11. 18429
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    Explanations

    common phrases related to computer operations and instructions

    oai_token-act-pair · gpt-3.5-turbo

    the verb "be" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    rones
    -0.66
     Notting
    -0.63
     dare
    -0.62
     Raven
    -0.60
     Rab
    -0.60
     periphery
    -0.60
     mentality
    -0.58
     Borders
    -0.57
     Prescott
    -0.57
     intend
    -0.57
    POSITIVE LOGITS
    ijing
    0.91
     seen
    0.89
    acons
    0.88
     replaced
    0.88
     forgiven
    0.87
     able
    0.83
    ige
    0.83
    hemoth
    0.82
     traced
    0.82
    leeve
    0.80
    Activations Density 0.237%

    No Known Activations