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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. 7-RES-JB
    11. 23862
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    Explanations

    phrases related to dedicating resources, time, effort, or money into a project or activity

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating effort and investment in projects or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zynski
    -0.75
    Ĭ±
    -0.72
    etheless
    -0.67
    andem
    -0.66
    terness
    -0.65
     Newspaper
    -0.63
    ority
    -0.63
    ©
    -0.62
    notations
    -0.61
    edom
    -0.61
    POSITIVE LOGITS
     promoting
    0.91
     educating
    0.89
     maintaining
    0.88
     upkeep
    0.87
     cultivating
    0.87
     constructing
    0.86
     optimizing
    0.85
     preserving
    0.85
     ensuring
    0.85
     acquiring
    0.83
    Activations Density 0.190%

    No Known Activations