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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. 17399
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    Explanations

    terms related to specific topics such as marijuana legalization, nuclear deterrence, graphic designs, and so on

    oai_token-act-pair · gpt-3.5-turbo

    specific terms related to various substances, policies, and technologies

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    berra
    -0.68
    lihood
    -0.64
    Enlarge
    -0.63
    Charges
    -0.61
    tnc
    -0.56
    taboola
    -0.56
    ADVERTISEMENT
    -0.55
    âĢİ
    -0.55
    .............
    -0.55
    ortment
    -0.54
    POSITIVE LOGITS
     rul
    0.80
     embodiments
    0.68
     wat
    0.67
    wise
    0.66
    ensibly
    0.65
     patched
    0.64
     implementations
    0.62
    ographically
    0.61
     nurs
    0.60
     buffs
    0.60
    Activations Density 1.248%

    No Known Activations