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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. 9-RES-JB
    11. 1813
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    Explanations

    descriptions or characteristics of different target audiences

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thal
    -0.72
     quotations
    -0.62
    OLOG
    -0.61
     Glob
    -0.61
     Correct
    -0.60
     Removal
    -0.59
     Cheong
    -0.59
     Anyway
    -0.59
     Anything
    -0.58
     Around
    -0.57
    POSITIVE LOGITS
     want
    1.20
     aspire
    1.14
     wants
    1.11
     wish
    1.10
     desperately
    1.07
     wished
    1.06
     crave
    1.06
    want
    1.03
     specialize
    0.98
     desire
    0.98
    Activations Density 0.140%

    No Known Activations