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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. 1-RES-JB
    11. 823
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    Explanations

    references to digital storage sizes, specifically focusing on 'bytes'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to data storage capacity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dru
    -0.65
     Rosenberg
    -0.64
    ortium
    -0.64
     Line
    -0.64
    neg
    -0.62
    NOR
    -0.61
    inav
    -0.61
     LINE
    -0.61
     Pol
    -0.61
     Schwarz
    -0.59
    POSITIVE LOGITS
    abyte
    1.31
    abytes
    1.27
    entimes
    0.99
    inventoryQuantity
    0.89
    artment
    0.88
    terness
    0.88
     lapt
    0.87
    catentry
    0.83
    ctic
    0.77
    iscopal
    0.75
    Activations Density 0.005%

    No Known Activations