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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. 0-RES-JB
    11. 2159
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    Explanations

    phrases related to recorded or monitored discussions or talks

    oai_token-act-pair · gpt-3.5-turbo

    references to conversations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elson
    -0.65
    ep
    -0.61
     retard
    -0.61
    Supp
    -0.61
    Sham
    -0.60
    stan
    -0.60
    oil
    -0.59
    obo
    -0.59
    Supported
    -0.59
    ascal
    -0.59
    POSITIVE LOGITS
     conversations
    3.67
     conversation
    2.51
     discussions
    2.43
     chats
    2.17
     dialogue
    1.78
     meetings
    1.77
     Conversation
    1.76
     interactions
    1.74
     debates
    1.70
     Convers
    1.66
    Activations Density 0.009%

    No Known Activations