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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. 20764
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    Explanations

    words and phrases related to social media, online content sharing, and internet trends

    oai_token-act-pair · gpt-3.5-turbo

    mentions of social media platforms and the discussions occurring there

    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
    htaking
    -0.74
    blem
    -0.69
    acity
    -0.69
    agements
    -0.64
     retaining
    -0.63
    assault
    -0.62
    cellence
    -0.60
    raped
    -0.60
     retained
    -0.60
     successor
    -0.59
    POSITIVE LOGITS
     forums
    1.28
     blogs
    1.14
    Reddit
    1.08
     Reddit
    1.08
     rooft
    1.04
     twitter
    1.02
     reddit
    1.00
     campuses
    0.97
     Twitter
    0.93
     corners
    0.92
    Activations Density 0.305%

    No Known Activations