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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. 1-RES-JB
    6. 7969
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    INDEX
    Explanations

    mathematical terms related to linearity

    oai_token-act-pair · gpt-3.5-turbo

    concepts and terms related to linear relationships and associated mathematical expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    egu
    -0.78
    imester
    -0.74
    flies
    -0.72
    ardless
    -0.70
    aco
    -0.67
    ULTS
    -0.66
    IVERS
    -0.66
    illon
    -0.65
    IRED
    -0.65
    une
    -0.65
    POSITIVE LOGITS
    linear
    0.90
     algebra
    0.88
    ization
    0.85
     interpol
    0.85
     linear
    0.81
    gebra
    0.80
    gradient
    0.80
     trajectory
    0.78
     accelerator
    0.77
    izes
    0.76
    Activations Density 0.008%

    No Known Activations