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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 10450
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    Explanations

    information about events being held in specific locations

    oai_token-act-pair · gpt-3.5-turbo

    events or gatherings that are scheduled to take place

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otomy
    -0.77
     Asylum
    -0.64
     Translation
    -0.64
     uninsured
    -0.62
     therapy
    -0.62
    ļéĨĴ
    -0.60
    Db
    -0.60
     ransom
    -0.59
     clipboard
    -0.59
    employment
    -0.59
    POSITIVE LOGITS
     attendees
    0.96
     organizers
    0.94
    goers
    0.93
     organisers
    0.91
    ivals
    0.88
     venue
    0.87
     hosted
    0.84
     event
    0.84
     venues
    0.83
     Thurs
    0.82
    Activations Density 0.343%

    No Known Activations