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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. 7686
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    Explanations

    memories or events from the past

    oai_token-act-pair · gpt-3.5-turbo

    references to memories

    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
    itarian
    -0.71
    lich
    -0.71
    ffic
    -0.66
    wise
    -0.66
    SourceFile
    -0.66
    Lean
    -0.66
    asse
    -0.65
     blocker
    -0.63
     Moderate
    -0.62
     applying
    -0.61
    POSITIVE LOGITS
     memories
    3.87
     Memories
    2.37
     memory
    2.25
     recollection
    1.86
     flashbacks
    1.70
    memory
    1.69
     recol
    1.63
     Memory
    1.62
     remem
    1.60
     feelings
    1.57
    Activations Density 0.011%

    No Known Activations