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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 4699
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    Explanations

    references to events or situations where people gather or assemble

    oai_token-act-pair · gpt-3.5-turbo

    references to attendance at events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    grave
    -0.71
    ofi
    -0.70
    Tes
    -0.67
    itars
    -0.64
    bern
    -0.62
     bipolar
    -0.61
    imb
    -0.61
    enegger
    -0.61
    ber
    -0.59
    enthal
    -0.58
    POSITIVE LOGITS
     attendance
    1.16
     Attend
    1.10
     attend
    0.82
     attendees
    0.80
    enance
    0.77
     screenings
    0.74
    oided
    0.74
     Tickets
    0.73
     scrut
    0.71
     spectator
    0.71
    Activations Density 0.012%

    No Known Activations