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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 20528
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to social media accounts, particularly Twitter and Facebook

    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
     Bagg
    -0.70
    arate
    -0.66
    aito
    -0.63
    PDF
    -0.62
    hospital
    -0.60
     defeat
    -0.60
    Aid
    -0.60
     seams
    -0.59
    ãĥ©ãĥ³
    -0.59
     anesthesia
    -0.59
    POSITIVE LOGITS
     (@
    0.99
     username
    0.98
     "@
    0.92
     @
    0.91
     www
    0.86
     facebook
    0.84
    annels
    0.79
    /#
    0.79
    acebook
    0.78
    edin
    0.77
    Activations Density 0.156%

    No Known Activations