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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. 8-RES-JB
    11. 2060
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    Explanations

    mentions or references to memory usage or storage

    oai_token-act-pair · gpt-3.5-turbo

    references to memory and its management in computing contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jon
    -0.78
    keye
    -0.78
     Riy
    -0.77
    glers
    -0.75
    kef
    -0.74
    cliffe
    -0.73
    ŃĶ
    -0.71
    bara
    -0.70
    rities
    -0.69
    OPLE
    -0.68
    POSITIVE LOGITS
     consolidation
    0.92
     allocation
    0.89
     storage
    0.87
     dumps
    0.87
     bandwidth
    0.85
     chips
    0.83
     retrieval
    0.83
     utilization
    0.79
     chip
    0.78
     disposal
    0.78
    Activations Density 0.025%

    No Known Activations