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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

    instances of the word "much."

    oai_token-act-pair · gpt-3.5-turbo

    the frequency and significance of the word "much."

    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
    ounce
    -0.64
    APD
    -0.62
    #
    -0.59
    sen
    -0.58
    ubuntu
    -0.57
     Seeking
    -0.56
    operator
    -0.55
     Availability
    -0.55
    boarding
    -0.54
     Joined
    -0.54
    POSITIVE LOGITS
     much
    3.07
     MUCH
    2.55
    much
    2.49
     Much
    1.87
    Much
    1.66
     far
    1.41
     considerably
    1.40
     many
    1.36
     greatly
    1.29
     vastly
    1.28
    Activations Density 0.063%

    No Known Activations