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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. 23809
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    Explanations

    specific numerical values with varying symbols and terms such as "Activity," "Posts," "Merit," and "Date."

    oai_token-act-pair · gpt-3.5-turbo

    elements indicating user-generated content metrics

    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
    Not in Any Lists

    No Comments

    Negative Logits
     specialists
    -0.76
     dotted
    -0.68
     finite
    -0.67
     purs
    -0.66
     antit
    -0.66
     principals
    -0.65
     throwing
    -0.65
     adversaries
    -0.64
     lining
    -0.64
     staggered
    -0.64
    POSITIVE LOGITS
    Reddit
    1.04
    Posted
    0.97
    à¼
    0.96
    Thread
    0.88
    Hello
    0.87
    âĸ¬âĸ¬
    0.86
    Spons
    0.84
    Author
    0.83
    Introduction
    0.82
    Comments
    0.82
    Activations Density 0.191%

    No Known Activations