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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. 9-RES-JB
    11. 5761
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    Explanations

    phrases related to criminal activities and investigations

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and certain formatting elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ©¶æ
    -0.80
     synerg
    -0.80
     payroll
    -0.76
     consolid
    -0.75
     uranium
    -0.74
     flavored
    -0.72
     civilian
    -0.72
     annex
    -0.71
    ĪĴ
    -0.70
     centralized
    -0.70
    POSITIVE LOGITS
    Scroll
    1.86
    VIDEO
    1.28
    Speaking
    1.26
    Pict
    1.22
    However
    1.19
    Refer
    1.17
    Former
    1.17
    Meanwhile
    1.15
    Ready
    1.15
    Cele
    1.14
    Activations Density 0.212%

    No Known Activations