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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. 7-RES-JB
    11. 14228
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    Explanations

    online chat-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to chat and online communication

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ©¶æ
    -0.72
    ufact
    -0.63
    engeance
    -0.62
    profit
    -0.59
    adjusted
    -0.59
    uilt
    -0.59
    CVE
    -0.59
     graded
    -0.58
    arte
    -0.58
     ESV
    -0.57
    POSITIVE LOGITS
    anooga
    1.33
    bots
    1.01
    room
    1.00
    rooms
    1.00
    ters
    0.92
     chat
    0.87
     rooms
    0.84
    acters
    0.83
     chats
    0.80
     room
    0.80
    Activations Density 0.032%

    No Known Activations