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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. 16023
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    Explanations

    phrases related to getting rid of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to societal issues and the need for change

    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
    tar
    -0.79
    rules
    -0.75
    pull
    -0.71
    doc
    -0.70
    rem
    -0.68
    drawn
    -0.67
    shi
    -0.67
    uld
    -0.65
     restraints
    -0.65
     sidx
    -0.64
    POSITIVE LOGITS
     coffers
    1.00
    abase
    0.91
     arenas
    0.85
     streets
    0.83
     entire
    0.82
     beaches
    0.79
     shelves
    0.79
     cities
    0.78
    selves
    0.78
     shores
    0.77
    Activations Density 0.482%

    No Known Activations