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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. 16973
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    Explanations

    text-related actions such as sending, receiving, and reading messages

    oai_token-act-pair · gpt-3.5-turbo

    references to texting and text messages

    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
     Inher
    -0.75
    jury
    -0.73
    ewater
    -0.68
    ritis
    -0.67
    ETF
    -0.66
    olin
    -0.65
    Bir
    -0.65
     footing
    -0.64
     Flags
    -0.64
    adjusted
    -0.64
    POSITIVE LOGITS
     messages
    1.26
     Messages
    1.07
     messaging
    1.04
     notifications
    1.00
     inbox
    1.00
     texting
    0.98
    message
    0.97
     SMS
    0.96
     message
    0.95
     texted
    0.92
    Activations Density 0.103%

    No Known Activations