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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. 0-RES-JB
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    Explanations

    mentions of the word "tablet."

    oai_token-act-pair · gpt-3.5-turbo

    references to tablets

    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
     Conserv
    -0.76
    ierre
    -0.72
     Willie
    -0.72
    opes
    -0.70
    ĨĴ
    -0.69
     Annie
    -0.69
     Parks
    -0.69
    Louis
    -0.67
    Gre
    -0.65
    ustain
    -0.65
    POSITIVE LOGITS
     tablet
    3.79
     tablets
    3.24
     Tablet
    2.93
     iPad
    1.87
     iPads
    1.58
     laptop
    1.49
     touchscreen
    1.40
     smartphone
    1.37
     Kindle
    1.34
     handheld
    1.29
    Activations Density 0.008%

    No Known Activations