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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. 9-RES-JB
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    Explanations

    the phrase "pipe dream"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "pipe" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enance
    -0.94
    nesota
    -0.78
    ivia
    -0.75
    orian
    -0.74
    é¾įå
    -0.74
    doms
    -0.74
    onia
    -0.73
    ãħĭ
    -0.73
    eanor
    -0.73
    ean
    -0.71
    POSITIVE LOGITS
    pipe
    1.05
     cleaners
    0.98
     pipe
    0.97
     pipes
    0.86
    fit
    0.84
     cleaner
    0.82
     Pipe
    0.82
    join
    0.79
     piping
    0.79
     smoking
    0.76
    Activations Density 0.041%

    No Known Activations