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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
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    Explanations

    phrases containing the word "how"

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the word "how."

    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
     Flavoring
    -0.56
     Mobil
    -0.56
     Tanz
    -0.55
     [/
    -0.54
     occupying
    -0.53
     successor
    -0.53
     cellul
    -0.52
     RELEASE
    -0.51
     territory
    -0.51
     burner
    -0.50
    POSITIVE LOGITS
    itzer
    1.30
    ling
    1.30
    soever
    1.21
    ever
    1.15
    ls
    1.10
    lers
    1.08
    ards
    1.05
    dy
    1.05
    ells
    1.04
    led
    1.01
    Activations Density 0.069%

    No Known Activations