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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. 0-RES-JB
    11. 16624
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    Explanations

    words and phrases related to the Japanese term "ori," such as "origami" or "satori"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to originality or creative concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fueling
    -0.64
     pumping
    -0.63
     payroll
    -0.62
     feed
    -0.61
     Pack
    -0.61
     present
    -0.60
     BRE
    -0.60
     feeding
    -0.57
     afore
    -0.57
     safety
    -0.57
    POSITIVE LOGITS
    ori
    4.63
    oria
    1.65
    oru
    1.64
    oris
    1.63
    orio
    1.60
    orians
    1.58
    orian
    1.57
    orie
    1.55
    oric
    1.45
    oro
    1.44
    Activations Density 0.013%

    No Known Activations