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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. 22572
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    INDEX
    Explanations

    phrases related to the concept of consequences or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the"

    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
    iffe
    -0.74
     suppose
    -0.71
     Judaism
    -0.65
    craft
    -0.59
     Buddhism
    -0.59
    onse
    -0.58
     aside
    -0.58
    ature
    -0.58
     aimed
    -0.57
    git
    -0.57
    POSITIVE LOGITS
     same
    1.31
     slightest
    1.29
    ses
    1.23
     widest
    1.22
     requisite
    1.22
     utmost
    1.16
     entirety
    1.15
     highest
    1.15
    same
    1.14
     usual
    1.11
    Activations Density 0.611%

    No Known Activations