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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. 4-RES-JB
    11. 1695
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    Explanations

    phrases related to support and engagement with content such as subscribing, following on social media, liking, commenting, or sharing

    oai_token-act-pair · gpt-3.5-turbo

    calls to action and ways to engage with the audience

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

    No Comments

    Negative Logits
    Marginal
    -0.56
     Kham
    -0.55
    gans
    -0.54
     Stalin
    -0.53
    igated
    -0.53
     overth
    -0.51
     Homo
    -0.51
     (âĪĴ
    -0.51
     amput
    -0.51
    uably
    -0.51
    POSITIVE LOGITS
     THANK
    0.74
     :)
    0.74
     bookmark
    0.69
     subscription
    0.69
    ebin
    0.67
     coupon
    0.67
     appre
    0.66
     Etsy
    0.65
     notification
    0.65
     email
    0.65
    Activations Density 2.547%

    No Known Activations