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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. 1794
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    Explanations

    events and gatherings happening in different locations

    oai_token-act-pair · gpt-3.5-turbo

    references to events and gatherings

    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
    aundering
    -0.74
     tightened
    -0.65
     understatement
    -0.65
     brute
    -0.63
     Decay
    -0.62
     reckon
    -0.61
     recoil
    -0.61
    ymes
    -0.61
    esson
    -0.61
    metics
    -0.60
    POSITIVE LOGITS
     attendees
    0.90
     fundraiser
    0.90
    posium
    0.88
     session
    0.87
     seminar
    0.86
    inar
    0.83
     hosted
    0.82
     chaired
    0.81
    iser
    0.81
     invite
    0.80
    Activations Density 0.316%

    No Known Activations