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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. 11-RES-JB
    11. 22214
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    Explanations

    technical specifications related to electronic devices

    oai_token-act-pair · gpt-3.5-turbo

    specifications related to memory and storage capacity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    naire
    -0.73
    ople
    -0.71
    enburg
    -0.69
     Constantin
    -0.69
    endon
    -0.67
    enberg
    -0.67
     Cout
    -0.65
    icent
    -0.64
    bilt
    -0.64
     Christensen
    -0.64
    POSITIVE LOGITS
     storage
    1.23
     RAM
    1.16
    abytes
    1.10
     SSD
    1.07
     DDR
    1.02
     memory
    1.01
     GDDR
    1.01
     Storage
    0.96
     HDD
    0.95
    Storage
    0.94
    Activations Density 0.046%

    No Known Activations