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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. 2-RES-JB
    11. 21328
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    Explanations

    keywords related to computer memory operations and management

    oai_token-act-pair · gpt-3.5-turbo

    references to memory usage and management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kef
    -0.85
    ats
    -0.72
    tar
    -0.72
    yright
    -0.71
    xon
    -0.67
    ANY
    -0.67
    annis
    -0.66
    leys
    -0.66
    û
    -0.66
    ouk
    -0.66
    POSITIVE LOGITS
     memory
    1.07
    memory
    0.98
     Memory
    0.98
     remembrance
    0.90
     consolidation
    0.86
     retrieval
    0.85
     Memories
    0.83
    Memory
    0.79
     recollection
    0.78
    fulness
    0.77
    Activations Density 0.012%

    No Known Activations