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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. 22051
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    Explanations

    numbers related to data storage or computing specifications

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical values related to memory and 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
    andise
    -0.96
    endment
    -0.82
    inion
    -0.82
    bell
    -0.81
    endix
    -0.80
    ocrats
    -0.79
    ocrat
    -0.78
    awaru
    -0.77
    annel
    -0.76
    alore
    -0.76
    POSITIVE LOGITS
    384
    1.10
    256
    1.09
    512
    1.00
    128
    0.92
     256
    0.89
    1024
    0.87
     accelerator
    0.83
     512
    0.83
    GB
    0.82
     CTR
    0.76
    Activations Density 0.021%

    No Known Activations