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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. 6-RES-JB
    11. 9863
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    Explanations

    key phrases ending in 't'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "didn't" or variations of it in text

    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
     guiActiveUnfocused
    -0.78
    osate
    -0.68
     Nib
    -0.68
     Swordsman
    -0.66
     Shib
    -0.65
     RAD
    -0.64
     Mour
    -0.63
     Golem
    -0.62
    aminer
    -0.62
     mosaic
    -0.60
    POSITIVE LOGITS
    £
    1.00
    evil
    0.94
    ½
    0.91
    ı
    0.90
    ¢
    0.89
    âĢķ
    0.88
    ¬
    0.88
    Ĵ
    0.87
    Ì
    0.87
    ¿
    0.85
    Activations Density 0.129%

    No Known Activations