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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. 8-RES-JB
    11. 11063
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    oai_token-act-pair · gpt-3.5-turbo

    mentions of social media or digital context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    conservancy
    -0.71
     transfers
    -0.67
    scill
    -0.66
     substit
    -0.64
     Marketable
    -0.64
    philis
    -0.63
    cffff
    -0.62
     mascara
    -0.62
     redist
    -0.62
    £ı
    -0.62
    POSITIVE LOGITS
     NYT
    0.80
     Appl
    0.73
     Bulletin
    0.73
     Ibid
    0.72
     Journal
    0.71
     Eur
    0.71
     Anonymous
    0.70
     Dept
    0.70
     https
    0.70
     JM
    0.69
    Activations Density 0.350%

    No Known Activations