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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. 3-RES-JB
    11. 17098
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    Explanations

    social media-related terms and interactions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to social media interaction and content sharing

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     fame
    -0.72
     nearest
    -0.70
     symp
    -0.68
     disg
    -0.65
    ledged
    -0.62
     retard
    -0.61
     fellowship
    -0.61
     regret
    -0.60
     distant
    -0.59
     successors
    -0.59
    POSITIVE LOGITS
    oÄŁan
    0.81
     SHARES
    0.80
     GOODMAN
    0.77
     âĢº
    0.76
    WASHINGTON
    0.75
    IRO
    0.74
    Creat
    0.73
     ][
    0.73
    cloneembedreportprint
    0.72
    maxwell
    0.72
    Activations Density 0.400%

    No Known Activations