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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. 8-RES-JB
    11. 10756
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    Explanations

    dates written in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific months in a chronological context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exha
    -0.65
    arantine
    -0.65
     arrang
    -0.59
     unsc
    -0.59
     juggling
    -0.59
     mull
    -0.59
    GBT
    -0.58
     vent
    -0.58
     hindsight
    -0.58
     vast
    -0.57
    POSITIVE LOGITS
     2018
    0.97
     2017
    0.97
     29
    0.96
     28
    0.94
     27
    0.92
     2015
    0.91
     04
    0.91
     06
    0.89
     26
    0.89
     2014
    0.89
    Activations Density 0.094%

    No Known Activations