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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. 4983
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    Explanations

    words related to social media interactions, popularity, and virality

    oai_token-act-pair · gpt-3.5-turbo

    metrics related to video viewership and social media engagement

    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
     Fas
    -0.70
    ulhu
    -0.68
     screwed
    -0.68
     screws
    -0.64
    utan
    -0.63
     weld
    -0.62
     geometry
    -0.62
    arest
    -0.62
     confinement
    -0.61
     Procedures
    -0.59
    POSITIVE LOGITS
     viewership
    0.84
     buzz
    0.82
     acclaim
    0.82
     Indie
    0.81
     popularity
    0.80
    genre
    0.80
     retweet
    0.80
     Reddit
    0.77
     endorsements
    0.77
     notoriety
    0.76
    Activations Density 0.940%

    No Known Activations