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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. 2-RES-JB
    11. 7150
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    Explanations

    mentions of different generations or age groups, particularly focusing on the younger generation

    oai_token-act-pair · gpt-3.5-turbo

    references to different generational groups, particularly focusing on the younger generations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yer
    -0.75
    olulu
    -0.74
    phis
    -0.69
    hemat
    -0.68
    amina
    -0.66
    gur
    -0.65
     porous
    -0.65
    vertisement
    -0.64
    epad
    -0.64
    yers
    -0.64
    POSITIVE LOGITS
     generation
    0.98
     generations
    0.95
     Generations
    0.91
    arily
    0.80
     Generation
    0.79
     adulthood
    0.77
    naire
    0.75
     msec
    0.75
     millennials
    0.73
     olds
    0.73
    Activations Density 0.017%

    No Known Activations