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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. 17072
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    Explanations

    events or occasions where individuals are attending something

    oai_token-act-pair · gpt-3.5-turbo

    mentions of attendance or participation in events or conventions

    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
    /-
    -0.73
    İĭ
    -0.72
     Folder
    -0.71
    Directory
    -0.69
    thora
    -0.69
    ãĥĥãĥĪ
    -0.69
    folder
    -0.67
    depend
    -0.66
    illing
    -0.65
    onyms
    -0.63
    POSITIVE LOGITS
     festivities
    1.24
     event
    1.18
     events
    1.04
     contests
    1.03
     tournaments
    1.02
     ceremonies
    1.02
     festival
    1.01
     Sochi
    1.00
     televised
    1.00
     festivals
    0.98
    Activations Density 0.608%

    No Known Activations