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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. 4-RES-JB
    11. 674
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    geries
    -1.03
     foreground
    -0.82
     distracted
    -0.80
     distracting
    -0.78
     intrig
    -0.70
    xus
    -0.68
     dividing
    -0.68
     offending
    -0.68
     ordinary
    -0.67
    gery
    -0.66
    POSITIVE LOGITS
    и
    1.09
    о
    0.96
    Ħ
    0.96
    æѦ
    0.93
    ר
    0.93
    ski
    0.91
    ij
    0.91
    Ñĥ
    0.91
    ļ
    0.90
    ł
    0.89
    Activations Density 0.005%

    No Known Activations