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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. 0-RES-JB
    6. 3573
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    INDEX
    Explanations

    long numerical strings with decimal points

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical values or figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.67
    Frameworks
    -0.66
    essee
    -0.65
     destro
    -0.60
    gow
    -0.59
     Canaver
    -0.59
    acan
    -0.59
     arrang
    -0.59
    eatures
    -0.58
    èª
    -0.58
    POSITIVE LOGITS
     1
    2.76
     2
    2.07
     3
    1.84
     0
    1.78
     4
    1.67
     ½
    1.64
     5
    1.63
     6
    1.53
    1
    1.48
     7
    1.48
    Activations Density 0.054%

    No Known Activations