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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. 4-RES-JB
    11. 18616
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    Explanations

    phrases related to distribution systems and processes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to distribution systems and their efficiency

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

    No Comments

    Negative Logits
    glers
    -0.76
    chers
    -0.73
    itude
    -0.72
    chest
    -0.70
    gered
    -0.69
    astical
    -0.69
    ewitness
    -0.68
    asus
    -0.68
    ington
    -0.67
    bers
    -0.67
    POSITIVE LOGITS
     distribution
    1.02
     distributions
    0.92
     leaflets
    0.90
     Distribution
    0.89
     distribut
    0.86
     Distribut
    0.85
     distribute
    0.82
    eering
    0.80
     redistribution
    0.78
     distributing
    0.77
    Activations Density 0.014%

    No Known Activations