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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. 3658
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    INDEX
    Explanations

    mentions of social media actions like sharing, pinning, or emailing content

    oai_token-act-pair · gpt-3.5-turbo

    social media engagement metrics and sharing actions

    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
     reper
    -0.62
    sche
    -0.58
     helm
    -0.57
    req
    -0.56
     criterion
    -0.55
    sic
    -0.55
     Jah
    -0.55
     Geh
    -0.53
    hement
    -0.53
    ¨
    -0.53
    POSITIVE LOGITS
     SHARES
    0.80
     kindred
    0.75
    agascar
    0.74
    Share
    0.71
    ierra
    0.71
    Disclaimer
    0.68
    oland
    0.68
    Tweet
    0.67
    pring
    0.65
     Travels
    0.65
    Activations Density 0.041%

    No Known Activations