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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. 2-RES-JB
    11. 21479
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    Explanations

    configurations and specifications related to data storage and processing capacity, such as memory sizes and bits used for encryption

    oai_token-act-pair · gpt-3.5-turbo

    specifications related to computer hardware and memory capacity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andise
    -0.89
    orical
    -0.81
    uyomi
    -0.80
    inion
    -0.80
    orie
    -0.78
    atre
    -0.76
    alore
    -0.76
    avez
    -0.74
    bara
    -0.74
    raising
    -0.73
    POSITIVE LOGITS
    384
    1.03
    256
    0.97
    512
    0.86
    1024
    0.85
    GB
    0.81
    128
    0.79
     bytes
    0.79
    MB
    0.79
     CTR
    0.78
     256
    0.75
    Activations Density 0.029%

    No Known Activations