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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. 16325
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    dates, specifically mentioning months and days

    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
    Not in Any Lists

    No Comments

    Negative Logits
    UGH
    -0.76
    */(
    -0.68
     VIDEOS
    -0.64
    MET
    -0.64
    Reviewer
    -0.64
    >>>>>>>>
    -0.61
    desc
    -0.60
     gifted
    -0.59
     disp
    -0.59
     constitu
    -0.59
    POSITIVE LOGITS
     2015
    1.05
     31
    1.04
     2013
    1.03
     29
    1.03
     2014
    1.01
     2019
    1.01
     2011
    1.00
     2018
    1.00
     2016
    0.99
     2017
    0.99
    Activations Density 0.087%

    No Known Activations