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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    INDEX
    Explanations

    references to the term "Imperial"

    oai_token-act-pair · gpt-3.5-turbo

    references to "Imperial" in various contexts

    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
    Downloadha
    -1.03
    WAYS
    -0.87
    NetMessage
    -0.85
    BOOK
    -0.78
    rooms
    -0.78
    THER
    -0.75
    Magikarp
    -0.74
    earance
    -0.73
    printf
    -0.73
    gger
    -0.72
    POSITIVE LOGITS
    perial
    1.33
     oun
    0.79
     imperial
    0.78
     Empire
    0.76
     Imperial
    0.76
     glim
    0.72
     Institution
    0.71
    icus
    0.70
    oreAnd
    0.70
    rament
    0.69
    Activations Density 0.012%

    No Known Activations