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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. 12-RES-JB
    11. 3408
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    Explanations

    mention of postal systems, specifically relating to historical developments

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    terms related to postal systems and their historical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     GoPro
    -0.82
     millennials
    -0.81
    2017
    -0.78
     Zika
    -0.77
     selfies
    -0.76
     Duterte
    -0.75
    2015
    -0.74
     2017
    -0.74
    Xi
    -0.73
     Lara
    -0.73
    POSITIVE LOGITS
     Railroad
    1.10
     Gazette
    1.05
     Railway
    1.00
     Company
    1.00
     Printing
    0.98
     Newsp
    0.97
     typew
    0.94
    ograph
    0.91
     1909
    0.90
     manufact
    0.90
    Activations Density 0.747%

    No Known Activations