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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. 9-RES-JB
    11. 8911
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    INDEX
    Explanations

    references to monetary transactions or financial aspects

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to convenience and ease of access, especially concerning services or products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CONCLUS
    -0.74
    ilib
    -0.72
    Final
    -0.70
    catentry
    -0.70
    contin
    -0.69
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.68
    Conclusion
    -0.68
    Contin
    -0.67
     embodiments
    -0.65
     timelines
    -0.65
    POSITIVE LOGITS
     stroll
    1.00
     somebody
    0.88
     groceries
    0.86
     someone
    0.83
     bribe
    0.82
     grandma
    0.79
     roadside
    0.79
     purse
    0.79
     mug
    0.78
     glance
    0.78
    Activations Density 0.902%

    No Known Activations