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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 17
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    Explanations

    terms related to significant events, actions, and people, particularly in the context of conflict and controversy

    oai_token-act-pair · gpt-3.5-turbo

    significant nouns and adjectives related to important events, groups, or characteristics in a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ernels
    -1.00
     signatures
    -0.88
    urches
    -0.83
    sites
    -0.82
     Machines
    -0.80
    osponsors
    -0.80
    rooms
    -0.79
    stories
    -0.78
    brids
    -0.77
    rencies
    -0.77
    POSITIVE LOGITS
     standpoint
    0.91
     batch
    0.88
     classmate
    0.86
     colleague
    0.85
     swath
    0.82
     constituent
    0.76
     altercation
    0.76
     staffer
    0.76
     group
    0.75
     chunk
    0.75
    Activations Density 0.546%

    No Known Activations