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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. 8035
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    Explanations

    specific time references

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of significant events or actions

    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
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    Negative Logits
    ãĤ§
    -0.72
     autop
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    stroke
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    Py
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     showc
    -0.67
    wake
    -0.65
     Shades
    -0.64
    oline
    -0.64
     hrs
    -0.62
    opath
    -0.60
    POSITIVE LOGITS
    ntil
    0.72
    ucket
    0.70
    ignty
    0.67
    aren
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    ĨĴ
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    terness
    0.63
    redd
    0.63
    roxy
    0.62
    iple
    0.62
    retty
    0.62
    Activations Density 0.000%

    No Known Activations