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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. 3-RES-JB
    11. 6371
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    Explanations

    words related to being present at an event or performance as an observer

    oai_token-act-pair · gpt-3.5-turbo

    references to spectators and the concept of spectacle in a sporting context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bert
    -0.75
    ilipp
    -0.72
    iott
    -0.72
    tesy
    -0.71
    ono
    -0.71
    orders
    -0.70
    apsed
    -0.70
    bey
    -0.68
     outdated
    -0.67
     pseudonym
    -0.66
    POSITIVE LOGITS
     spectator
    1.10
     spectators
    0.97
     Attend
    0.90
     attRot
    0.84
    eers
    0.83
     Flavoring
    0.80
    Spect
    0.80
     spectacle
    0.75
    ypes
    0.74
    IFIED
    0.73
    Activations Density 0.014%

    No Known Activations