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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. 7-RES-JB
    11. 11106
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    Explanations

    social media related terms and actions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of social media engagement, specifically shares and related metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tis
    -0.83
    istically
    -0.80
    morrow
    -0.69
    mie
    -0.66
    stress
    -0.64
     Jub
    -0.64
    ras
    -0.63
    eled
    -0.62
    naire
    -0.62
    bone
    -0.61
    POSITIVE LOGITS
     SHARES
    0.93
     VIDEOS
    0.70
    LinkedIn
    0.68
     Shares
    0.67
    CLOSE
    0.66
    edin
    0.66
     Tradable
    0.65
     VIEW
    0.64
    Pinterest
    0.63
    ABLE
    0.63
    Activations Density 0.014%

    No Known Activations