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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. 11-RES-JB
    11. 17102
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    Explanations

    phrases related to secret meetings and conversations

    oai_token-act-pair · gpt-3.5-turbo

    references to secretive or informal discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pwr
    -0.84
    ilty
    -0.84
    ãĥ©ãĥ³
    -0.77
    iris
    -0.75
    ename
    -0.68
    ected
    -0.66
     landfall
    -0.65
    orthy
    -0.64
    Tier
    -0.64
    assets
    -0.63
    POSITIVE LOGITS
     conversation
    1.91
     discussion
    1.80
     conversations
    1.78
     discussions
    1.78
     chats
    1.73
     Conversation
    1.60
     chat
    1.60
     meetings
    1.60
     banter
    1.54
     chatting
    1.44
    Activations Density 0.755%

    No Known Activations