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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 12332
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    Explanations

    information about individuals related to editorial roles and social media, specifically Twitter

    oai_token-act-pair · gpt-3.5-turbo

    mentions of social media interactions and author attributions

    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
    •twitter related features

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    Negative Logits
    haar
    -0.73
     Qué
    -0.65
    aceae
    -0.63
     guiActiveUnfocused
    -0.61
     blush
    -0.59
    Enlarge
    -0.59
     Bind
    -0.58
     Finder
    -0.58
    othal
    -0.58
    rue
    -0.58
    POSITIVE LOGITS
    Subscribe
    0.64
     Viper
    0.63
     TAMADRA
    0.62
     Virtue
    0.60
     Pact
    0.57
    iframe
    0.54
     chats
    0.53
     Vs
    0.53
    channel
    0.53
     Podcast
    0.52
    Activations Density 0.163%

    No Known Activations