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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. 12-RES-JB
    11. 3680
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    INDEX
    Explanations

    social media platform names

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to social media interactions and engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     msec
    -0.64
    ngth
    -0.62
    )=(
    -0.62
     princip
    -0.61
     proportions
    -0.60
     Tray
    -0.60
     Payments
    -0.59
    ciating
    -0.59
     Loss
    -0.58
     proceeds
    -0.57
    POSITIVE LOGITS
    Facebook
    1.00
    Email
    0.75
    Google
    0.74
    LinkedIn
    0.73
    EMS
    0.73
    St
    0.72
    Enhanced
    0.69
    Twitter
    0.68
    ç«
    0.67
    essage
    0.67
    Activations Density 0.009%

    No Known Activations