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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. 3167
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    Explanations

    phrases related to encryption and security

    oai_token-act-pair · gpt-3.5-turbo

    references to encryption

    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
    ij士
    -0.73
    姫
    -0.71
    Ĥ¬
    -0.70
    ¥µ
    -0.69
     dare
    -0.68
     Dare
    -0.68
     Carnage
    -0.68
    sth
    -0.67
     Fernand
    -0.66
    å£
    -0.66
    POSITIVE LOGITS
    ryption
    1.42
    oded
    1.38
    rypted
    1.31
    ounter
    1.28
    ounters
    1.25
    oding
    1.24
    oder
    1.16
    rypt
    1.14
    ourage
    1.05
    ibel
    1.02
    Activations Density 0.008%

    No Known Activations