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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. 1417
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    Explanations

    keywords related to events or event management

    oai_token-act-pair · gpt-3.5-turbo

    references to events and event-related details

    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
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    No Comments

    Negative Logits
    ictionary
    -0.69
    sis
    -0.66
    otomy
    -0.65
    ths
    -0.65
    lems
    -0.64
    Äĩ
    -0.64
    secution
    -0.63
    artisan
    -0.63
     Leopard
    -0.63
    axter
    -0.62
    POSITIVE LOGITS
     organisers
    1.11
     organizers
    1.08
     attendees
    1.04
    ivals
    1.01
    ful
    0.96
    uated
    0.95
     organizer
    0.95
    uates
    0.94
    goers
    0.93
    uating
    0.93
    Activations Density 0.050%

    No Known Activations