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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. 12-RES-JB
    6. 2352
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    INDEX
    Explanations

    social media actions like blocking and unblocking users

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    elements related to social media interactions and actions

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     downstairs
    -0.65
     dressing
    -0.63
     upstairs
    -0.62
     nutshell
    -0.61
     disinteg
    -0.60
     preparation
    -0.59
     quarters
    -0.59
     broth
    -0.59
     rehab
    -0.59
     dire
    -0.58
    POSITIVE LOGITS
     Detected
    0.87
    Offline
    0.87
     Origin
    0.79
     Enabled
    0.77
    redd
    0.76
    edIn
    0.75
    chain
    0.74
    Hidden
    0.73
     Cookies
    0.73
     Accounts
    0.72
    Activations Density 0.046%

    No Known Activations