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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. 0-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "metadata"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pit
    -0.75
    undai
    -0.72
     Spur
    -0.69
     Pens
    -0.69
     Baptist
    -0.69
     School
    -0.67
    acht
    -0.67
     Bridge
    -0.65
    sac
    -0.65
     fir
    -0.65
    POSITIVE LOGITS
     metadata
    3.75
    metadata
    2.48
    adata
    1.73
     annotations
    1.22
     annotation
    1.16
     iCloud
    1.15
    Meta
    1.14
     datasets
    1.11
     meta
    1.09
     tagging
    1.09
    Activations Density 0.031%

    No Known Activations