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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. 23973
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    Explanations

    names of authors and possibly academic works

    oai_token-act-pair · gpt-3.5-turbo

    specific identifiers or names associated with authors or contributors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     Mono
    -0.73
     ay
    -0.70
     Flavoring
    -0.69
     mono
    -0.68
     prompt
    -0.67
     Naruto
    -0.66
     Mandatory
    -0.64
     AAC
    -0.64
     Lafayette
    -0.63
     Independence
    -0.63
    POSITIVE LOGITS
    mann
    1.89
    bach
    1.80
    baum
    1.77
    feld
    1.77
    meier
    1.76
    berger
    1.70
    wald
    1.69
    berg
    1.69
    stein
    1.64
    lein
    1.62
    Activations Density 0.229%

    No Known Activations