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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. 15585
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    Explanations

    phrases related to long-term planning or investments

    oai_token-act-pair · gpt-3.5-turbo

    references to "long-term" themes or concepts

    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
     Cosponsors
    -1.00
    HOU
    -0.93
    IDES
    -0.84
    rote
    -0.80
    chu
    -0.80
     Mansion
    -0.78
    hou
    -0.78
    iquette
    -0.75
    otle
    -0.74
    idelines
    -0.73
    POSITIVE LOGITS
     viability
    1.04
     stability
    0.92
     unemployed
    0.90
     sustainability
    0.88
     commitment
    0.87
     usefulness
    0.86
     memory
    0.85
     survival
    0.84
     unemployment
    0.83
     impact
    0.82
    Activations Density 0.020%

    No Known Activations