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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. 9-RES-JB
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    Explanations

    phrases containing the phrase "face to face"

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to face-to-face interactions and personal encounters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elin
    -0.73
     rhy
    -0.71
    massive
    -0.70
     gears
    -0.67
    ynam
    -0.67
     Tsukuyomi
    -0.65
    pend
    -0.63
    adding
    -0.62
     subtract
    -0.61
    ©¶æ¥µ
    -0.60
    POSITIVE LOGITS
     interview
    1.07
     interviews
    1.04
     meetings
    1.03
     chats
    1.01
     conversations
    1.00
     greet
    0.99
     conversation
    0.98
     sessions
    0.94
     consultations
    0.89
     briefings
    0.88
    Activations Density 0.212%

    No Known Activations