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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. 2-RES-JB
    11. 8062
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    Explanations

    numbers related to computer processors

    oai_token-act-pair · gpt-3.5-turbo

    references to the x86 computer architecture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     mosqu
    -0.98
     Flavoring
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    raviolet
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    */(
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     conflic
    -0.73
     millenn
    -0.72
     unnecess
    -0.71
    rha
    -0.70
    itating
    -0.69
     imperative
    -0.69
    POSITIVE LOGITS
    ers
    0.93
    naire
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    ed
    0.91
    er
    0.90
    ellectual
    0.85
    32
    0.82
    64
    0.81
    eenth
    0.81
    angelo
    0.79
    765
    0.78
    Activations Density 0.040%

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