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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. 2-RES-JB
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    Explanations

    references to the company "Boeing."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Boeing company

    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
    Scotland
    -0.78
    arios
    -0.76
    itia
    -0.74
    avez
    -0.70
    adow
    -0.68
    laus
    -0.67
    arist
    -0.67
    hibition
    -0.66
    odic
    -0.65
    atro
    -0.65
    POSITIVE LOGITS
    etooth
    0.92
    heed
    0.91
     Airlines
    0.82
     Boeing
    0.82
    selage
    0.79
     Industries
    0.77
    wcs
    0.75
     airplanes
    0.71
     Helic
    0.71
     747
    0.69
    Activations Density 0.007%

    No Known Activations