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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. 0-RES-JB
    11. 10437
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    INDEX
    Explanations

    phrases related to experiences or activities that bring enjoyment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of enjoyment or positive experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     detection
    -0.67
     false
    -0.65
     foreclosure
    -0.63
     Change
    -0.63
    rier
    -0.63
    pro
    -0.62
     DNA
    -0.62
     suicide
    -0.61
    erald
    -0.61
     Shell
    -0.61
    POSITIVE LOGITS
     enjoyed
    3.67
     enjoys
    2.37
     enjoy
    2.11
     enjoying
    2.01
     liked
    1.64
     appreciated
    1.57
     endured
    1.53
     admired
    1.53
    Enjoy
    1.48
     Enjoy
    1.47
    Activations Density 0.023%

    No Known Activations