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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. 4-RES-JB
    11. 1824
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    Explanations

    the word "tsunami."

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "unit" or "units."

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

    No Comments

    Negative Logits
     Peb
    -0.82
     tomat
    -0.75
    Ö¼
    -0.71
     Madden
    -0.70
     mos
    -0.65
     accur
    -0.65
     houses
    -0.62
    enegger
    -0.62
     Ages
    -0.61
     conduc
    -0.61
    POSITIVE LOGITS
    nel
    1.21
    geon
    1.13
    geons
    1.08
    fortunately
    1.06
    idad
    1.06
    cles
    1.05
    iversity
    1.03
    nels
    1.01
    iform
    0.98
    iqueness
    0.95
    Activations Density 0.019%

    No Known Activations