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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. 8-RES-JB
    11. 4956
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    Explanations

    mentions of events or occasions where someone or something is being hosted or hosting something

    oai_token-act-pair · gpt-3.5-turbo

    mentions of hosting events or activities

    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
    olin
    -0.75
    imb
    -0.69
    wd
    -0.69
    uyomi
    -0.69
    chy
    -0.67
     sec
    -0.64
     braking
    -0.62
    Downloadha
    -0.61
    DIT
    -0.60
    yth
    -0.60
    POSITIVE LOGITS
     guests
    0.85
     conventions
    0.83
    eers
    0.81
     exhibitions
    0.80
     meetings
    0.77
     gatherings
    0.77
    Host
    0.76
     weddings
    0.75
     seminars
    0.74
    enance
    0.73
    Activations Density 0.046%

    No Known Activations