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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. 0-RES-JB
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    Explanations

    references to event attendees or participants

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups attending events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ysis
    -0.79
     mars
    -0.71
    heid
    -0.67
     surgery
    -0.66
    reads
    -0.66
    azeera
    -0.64
    mus
    -0.64
    estine
    -0.64
     recons
    -0.64
    cles
    -0.63
    POSITIVE LOGITS
     Attend
    2.90
     attendees
    2.17
     exhib
    1.05
     Guests
    0.94
     Visitors
    0.94
     Participants
    0.82
     attendance
    0.81
     Regist
    0.80
     visitors
    0.78
    atered
    0.77
    Activations Density 0.011%

    No Known Activations