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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 16018
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    Explanations

    text related to patterns or recurring sequences.

    oai_token-act-pair · gpt-3.5-turbo

    various types of patterns across different contexts

    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
     affair
    -0.89
     announcement
    -0.87
     requirement
    -0.86
     complaint
    -0.86
     lawsuit
    -0.85
     exception
    -0.82
     issue
    -0.82
    ittee
    -0.82
     invitation
    -0.81
     embargo
    -0.81
    POSITIVE LOGITS
     patterns
    2.11
     Patterns
    1.64
     concepts
    1.63
     scenarios
    1.62
     interpretations
    1.61
     perspectives
    1.61
     behaviors
    1.56
     modes
    1.55
     explanations
    1.55
     meanings
    1.55
    Activations Density 0.088%

    No Known Activations