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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. 10-RES-JB
    11. 12146
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    Explanations

    dates and numerical values

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and numerical references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    uin
    -0.68
     Burr
    -0.65
    racuse
    -0.64
    merce
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     Belg
    -0.61
     negatives
    -0.59
     gorilla
    -0.57
     VG
    -0.56
     firewall
    -0.55
    atari
    -0.54
    POSITIVE LOGITS
    âĶĢâĶĢâĶĢâĶĢ
    1.14
    ש
    0.65
    Synopsis
    0.63
    Jesus
    0.61
    Lear
    0.57
    lance
    0.57
    ×ŀ
    0.55
    download
    0.53
    Educ
    0.53
    pract
    0.52
    Activations Density 0.052%

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