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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. 0-RES-JB
    11. 1700
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    Explanations

    keywords related to the social media application "Snapchat"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific chat application

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    arte
    -0.68
    py
    -0.67
     burnt
    -0.66
     Py
    -0.65
     marks
    -0.64
    åĪ
    -0.63
    sy
    -0.63
    atory
    -0.63
    tain
    -0.62
    ansky
    -0.62
    POSITIVE LOGITS
    galitarian
    0.97
     traged
    0.79
     reviewer
    0.78
    chat
    0.75
    eworld
    0.75
    é¾
    0.70
    avorite
    0.70
     administrator
    0.69
    à¼
    0.68
     cleric
    0.68
    Activations Density 0.001%

    No Known Activations