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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. 10-RES-JB
    11. 12784
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    INDEX
    Explanations

    mentions of the word 'Facebook'

    oai_token-act-pair · gpt-3.5-turbo

    references to Facebook and associated social media contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.79
    aples
    -0.77
    dinand
    -0.71
     Siem
    -0.69
    utical
    -0.69
    ordan
    -0.68
    iola
    -0.68
    gio
    -0.64
    xon
    -0.64
    OPA
    -0.64
    POSITIVE LOGITS
     page
    1.48
     webpage
    1.21
     account
    1.20
     site
    1.12
     profile
    1.11
     Page
    1.07
     homepage
    1.06
     username
    1.05
     timeline
    1.05
     postings
    1.04
    Activations Density 0.072%

    No Known Activations