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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. 19173
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    Explanations

    words related to specific decades, especially the 80s and 90s

    oai_token-act-pair · gpt-3.5-turbo

    references to the 1980s and 1990s pop culture

    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
     Frey
    -0.74
     farm
    -0.71
     slab
    -0.67
     farming
    -0.66
     Dresden
    -0.65
     stride
    -0.65
     farms
    -0.64
     enterprises
    -0.64
     bras
    -0.63
     strand
    -0.62
    POSITIVE LOGITS
    ï¸ı
    0.95
    Occup
    0.88
    count
    0.88
    sure
    0.85
    resent
    0.84
    Balt
    0.83
    sign
    0.83
    twitter
    0.83
    nom
    0.82
    counter
    0.81
    Activations Density 0.058%

    No Known Activations