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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. 23161
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    Explanations

    references to computer memory-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to "memory" in various contexts

    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
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    No Comments

    Negative Logits
    kef
    -0.98
    jon
    -0.76
    doms
    -0.75
    yright
    -0.75
    tar
    -0.73
    yip
    -0.71
     Grimm
    -0.70
    glers
    -0.69
    kok
    -0.69
    OPLE
    -0.66
    POSITIVE LOGITS
     memory
    0.97
     Memory
    0.93
    memory
    0.89
    Memory
    0.88
     retrieval
    0.84
     consolidation
    0.84
     chips
    0.81
     storage
    0.81
     GDDR
    0.78
     footprint
    0.77
    Activations Density 0.011%

    No Known Activations