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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. 3-RES-JB
    11. 6220
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    INDEX
    Explanations

    references to the term "pandering."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to pandas and their environmental context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    #$
    -0.77
    IVES
    -0.75
     Skydragon
    -0.73
    pell
    -0.71
    IFE
    -0.69
    Ļ½
    -0.68
     Templar
    -0.67
    phabet
    -0.67
    step
    -0.67
    ESSION
    -0.66
    POSITIVE LOGITS
    emonium
    1.28
    emic
    1.28
     pand
    1.26
     Pand
    1.02
    Pand
    0.90
    arella
    0.85
    aren
    0.82
    emaker
    0.82
    oms
    0.82
    erers
    0.81
    Activations Density 0.013%

    No Known Activations