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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. 10-RES-JB
    6. 21023
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    INDEX
    Explanations

    adjectives describing negative or challenging situations

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with political and social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Points
    -1.01
    facts
    -1.00
    events
    -0.98
    issues
    -0.97
    points
    -0.96
    things
    -0.94
    rises
    -0.93
    deals
    -0.93
    acts
    -0.93
    stories
    -0.93
    POSITIVE LOGITS
     populace
    1.31
     electorate
    1.19
     economy
    1.09
     fanbase
    1.08
     audience
    1.06
     workforce
    1.05
     environment
    1.04
     swath
    1.00
     bunch
    0.97
     population
    0.97
    Activations Density 0.233%

    No Known Activations