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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 9185
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    INDEX
    Explanations

    numbers related to specific measurements or quantities

    oai_token-act-pair · gpt-3.5-turbo

    instances of scoring or statistical performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     trump
    -0.81
     unconditional
    -0.78
     veter
    -0.75
    ĸļ
    -0.74
     covenant
    -0.73
     triggered
    -0.71
     negoti
    -0.70
     authority
    -0.70
     seen
    -0.70
     honoured
    -0.70
    POSITIVE LOGITS
    Advertisements
    1.62
    Conclusion
    1.47
    Other
    1.35
    Others
    1.34
    Total
    1.29
    License
    1.28
    References
    1.26
    Instruct
    1.23
    Reply
    1.22
    Additionally
    1.21
    Activations Density 0.164%

    No Known Activations