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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. 7309
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    data entries in a specific format, which likely pertain to statistics or records of some kind

    oai_token-act-pair · gpt-3.5-turbo
    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
    pmwiki
    -0.73
    actionDate
    -0.66
     conduc
    -0.66
     infographic
    -0.62
    IAS
    -0.62
    OSH
    -0.62
    OTUS
    -0.60
     elig
    -0.60
     kindly
    -0.60
    agher
    -0.59
    POSITIVE LOGITS
    atics
    0.70
     Prelude
    0.59
    ivia
    0.58
     Mercenary
    0.57
    nell
    0.57
    roc
    0.56
    ificantly
    0.56
    pocket
    0.55
    enegger
    0.54
     Puerto
    0.54
    Activations Density 0.184%

    No Known Activations