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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. 10-RES-JB
    11. 6192
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    INDEX
    Explanations

    phrases related to specific topics or points of focus within longer text snippets

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases emphasizing "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾įåĸļ士
    -0.89
    姫
    -0.79
    Background
    -0.74
    Maps
    -0.69
    Notes
    -0.68
    NOTE
    -0.68
    imi
    -0.67
    pez
    -0.67
    LIN
    -0.67
    razil
    -0.66
    POSITIVE LOGITS
     slightest
    1.34
     smartest
    1.20
     brightest
    1.14
     easiest
    1.09
     prett
    1.08
     same
    1.05
     usual
    1.00
     strongest
    0.96
     greatest
    0.90
     norm
    0.89
    Activations Density 0.066%

    No Known Activations