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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. 10-RES-JB
    11. 24361
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    Explanations

    text messages and emails

    oai_token-act-pair · gpt-3.5-turbo

    references to communication methods related to legal cases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iculture
    -0.80
    Construction
    -0.69
     forestry
    -0.68
    Stud
    -0.66
    ibl
    -0.64
    ESCO
    -0.64
    Bir
    -0.64
     Zup
    -0.63
    vidia
    -0.63
    effic
    -0.62
    POSITIVE LOGITS
     exchanged
    1.28
     intercepted
    1.18
     overheard
    1.18
     messages
    1.09
     between
    1.05
     conversations
    1.03
     chats
    1.02
     Messages
    0.99
     correspondence
    0.99
     Emails
    0.97
    Activations Density 0.143%

    No Known Activations