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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. 1-RES-JB
    11. 16163
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to measurements or fractional quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ITED
    -0.72
     multim
    -0.66
    EEE
    -0.63
     ECB
    -0.61
     DOI
    -0.60
     patronage
    -0.58
     mileage
    -0.56
    Refer
    -0.55
    exempt
    -0.55
     QR
    -0.55
    POSITIVE LOGITS
    ths
    1.33
    ulhu
    1.06
    linger
    1.00
    icum
    0.98
    terday
    0.94
    ippi
    0.89
    ayer
    0.84
    eteen
    0.83
    omore
    0.82
    ky
    0.82
    Activations Density 0.006%

    No Known Activations