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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. 7-RES-JB
    11. 11839
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    Explanations

    mentions of events or situations where people are invited or attend

    oai_token-act-pair · gpt-3.5-turbo

    instances of events or activities related to attendance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sheets
    -0.70
     crust
    -0.70
     gears
    -0.68
    worn
    -0.67
     screws
    -0.66
     knob
    -0.66
    effic
    -0.65
     axes
    -0.63
    ucket
    -0.63
     ticks
    -0.63
    POSITIVE LOGITS
     festivities
    1.10
     conference
    1.07
     conferences
    1.04
     inaugural
    1.02
     ceremony
    1.00
     festival
    0.96
     seminar
    0.95
     upcoming
    0.92
     prestigious
    0.92
     funeral
    0.92
    Activations Density 0.369%

    No Known Activations