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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. 7-RES-JB
    11. 21410
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    querque
    -0.77
    âĸ¬
    -0.76
     snowball
    -0.67
    ogene
    -0.65
    enegger
    -0.63
    ilib
    -0.62
     Eat
    -0.61
     hesitant
    -0.61
    isman
    -0.59
     swipe
    -0.59
    POSITIVE LOGITS
    DM
    0.98
    XX
    0.92
    NAT
    0.92
    VB
    0.91
    MH
    0.90
    A
    0.89
    DX
    0.88
    CB
    0.88
    CAP
    0.87
    AX
    0.86
    Activations Density 0.079%

    No Known Activations