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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. 14198
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    Explanations

    phrases indicating significance or importance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant events or milestones regarding a subject

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    zona
    -0.77
    vest
    -0.75
    6000
    -0.72
    loo
    -0.70
    cles
    -0.66
     Accessed
    -0.66
    querque
    -0.66
    bil
    -0.65
    mare
    -0.64
    qi
    -0.64
    POSITIVE LOGITS
    bidden
    1.16
     starters
    1.13
    geries
    1.06
    gotten
    1.02
     purposes
    0.99
     generations
    0.93
     example
    0.91
    gery
    0.89
     instance
    0.88
     awhile
    0.86
    Activations Density 0.207%

    No Known Activations