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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. 11-RES-JB
    11. 5172
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    Explanations

    keywords related to detailed examination and evaluation of various subjects and data

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nadu
    -0.68
    arag
    -0.67
     maj
    -0.65
     Rez
    -0.65
     Agric
    -0.64
    mint
    -0.60
    lord
    -0.60
     diaper
    -0.59
     Governors
    -0.58
    mc
    -0.58
    POSITIVE LOGITS
     paralysis
    0.88
     methodology
    0.88
     thereof
    0.87
     conducted
    0.84
     tools
    0.82
     analys
    0.78
     suites
    0.76
     techniques
    0.76
     analyzing
    0.76
     suite
    0.76
    Activations Density 0.084%

    No Known Activations