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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
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    Explanations

    the company name "Siemens"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company Siemens

    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
    istics
    -0.71
     fathers
    -0.68
     curly
    -0.65
    wealth
    -0.63
     Baird
    -0.62
    skirts
    -0.62
    istically
    -0.61
     IMAGES
    -0.60
     Sunni
    -0.60
     vain
    -0.59
    POSITIVE LOGITS
     Siem
    1.07
    ensible
    0.87
    inen
    0.83
    iencies
    0.79
    ens
    0.78
    atis
    0.77
    pson
    0.77
    inite
    0.76
    essage
    0.75
    icol
    0.74
    Activations Density 0.006%

    No Known Activations