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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. 15966
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    Explanations

    references to live events or performances

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "live" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    xual
    -0.75
    OHN
    -0.72
     Beir
    -0.71
    ims
    -0.70
     Shinra
    -0.70
    une
    -0.69
    INTON
    -0.69
    umbs
    -0.69
    unity
    -0.67
    cientious
    -0.66
    POSITIVE LOGITS
    lihood
    1.23
    lier
    1.03
    liest
    1.02
    liness
    0.98
     births
    0.90
    Journal
    0.89
     streamed
    0.88
    journal
    0.87
    wire
    0.86
     streaming
    0.83
    Activations Density 0.041%

    No Known Activations