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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. 9-RES-JB
    11. 16717
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Glas
    -0.84
    cheon
    -0.75
    nered
    -0.75
    akening
    -0.70
    si
    -0.70
    enhagen
    -0.69
    ibur
    -0.66
    atives
    -0.66
     Guth
    -0.66
    cair
    -0.64
    POSITIVE LOGITS
     containers
    0.98
     Shipping
    0.81
     SEAL
    0.80
    wreck
    0.80
     container
    0.79
     receipts
    0.78
     UPS
    0.77
     shipment
    0.76
     shipping
    0.76
     Yamato
    0.74
    Activations Density 0.041%

    No Known Activations