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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. 5-RES-JB
    6. 7837
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    Explanations

    phrases related to social media interactions and criticism

    oai_token-act-pair · gpt-3.5-turbo

    instances of public criticism or negative sentiments expressed about individuals or groups in the context of social media discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     apprentices
    -0.90
     specialization
    -0.77
    verning
    -0.75
     greenhouse
    -0.74
     Agric
    -0.73
     stabilize
    -0.70
     treaties
    -0.70
     habitable
    -0.70
     domest
    -0.70
     cellar
    -0.69
    POSITIVE LOGITS
     retweet
    1.39
    Reddit
    1.23
     hasht
    1.21
     TMZ
    1.17
     Tumblr
    1.16
     tweeted
    1.15
     tweets
    1.14
     "@
    1.12
    Screenshot
    1.11
    Twitter
    1.10
    Activations Density 1.180%

    No Known Activations