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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. 21831
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    Explanations

    mentions of live events or broadcasts

    oai_token-act-pair · gpt-3.5-turbo

    references to live events or live streaming

    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
     Kirin
    -0.74
    umbs
    -0.68
     Beir
    -0.67
    OHN
    -0.66
    idges
    -0.62
     Shinra
    -0.60
    selage
    -0.58
    orically
    -0.58
    um
    -0.58
    INTON
    -0.58
    POSITIVE LOGITS
    lihood
    1.24
    journal
    1.06
    lier
    1.01
    liness
    0.99
    wire
    0.99
    liest
    0.98
    blog
    0.97
     streaming
    0.94
    Journal
    0.92
     streamed
    0.90
    Activations Density 0.046%

    No Known Activations